diff --git a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md index 0373d8ac8..10e04676b 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md +++ b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md @@ -18,6 +18,8 @@ This is a major step forward in offering enterprise customers incredible synergy In a major benefit to Generative AI, businesses can leverage Airbyte's data replication capabilities to ensure that their data in Qdrant Hybrid Cloud is always up to date. This empowers all users of Retrieval Augmented Generation (RAG) applications with effective analysis and decision-making potential, all based on the latest information. Furthermore, by combining Airbyte's platform and Qdrant's hybrid cloud infrastructure, users can optimize their data operations while keeping costs under control via flexible pricing models tailored to individual usage requirements. +> *“The Qdrant product lineup is a great fit for the Airbyte community. Native Python support pairs extremely well with our recent PyAirbyte launch, and the Qdrant K8 and Cloud offerings make a great complement for Airbyte OSS and Airbyte Cloud users, respectively. We’re excited to be working with Qdrant to unlock new and exciting use cases for AI and Data.”* AJ Steers, Staff Engineer for AI, Airbyte + #### Optimizing Your GenAI Data Stack With Airbyte and Qdrant Hybrid Cloud By integrating Airbyte with Qdrant Hybrid Cloud, you can achieve seamless data ingestion from diverse sources into Qdrant's powerful indexing system. This integration enables you to derive valuable insights from your data. Here are some key advantages: @@ -42,12 +44,12 @@ Learn how to set up a private AI service that addresses customer support issues [Try the Tutorial](/documentation/tutorials/rag-customer-support-cohere-airbyte-aws/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md b/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md index 43b4aa7f9..346c5606b 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md +++ b/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md @@ -40,12 +40,12 @@ Learn how to develop an AI system that reads lengthy contracts and gives complex [Try the Tutorial](/documentation/examples/rag-contract-management-stackit-aleph-alpha/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-cohere.md b/qdrant-landing/content/blog/hybrid-cloud-cohere.md index 437ea1cda..4200ea8c2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-cohere.md +++ b/qdrant-landing/content/blog/hybrid-cloud-cohere.md @@ -1,5 +1,5 @@ --- -draft: false +draft: true title: "Qdrant Hybrid Cloud and Cohere Support Enterprise AI" short_description: "Next gen enterprise software will rely on revolutionary technologies by Qdrant Hybrid Cloud and Cohere." description: "Next gen enterprise software will rely on revolutionary technologies by Qdrant Hybrid Cloud and Cohere." @@ -40,12 +40,12 @@ Learn how to set up a private AI service that addresses customer support issues [Try the Tutorial](/documentation/tutorials/rag-customer-support-cohere-airbyte-aws/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md b/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md index 0a344e7cc..d4cb58dd2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md +++ b/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md @@ -27,19 +27,23 @@ User data is a critical asset for a business, and user privacy should always be DigitalOcean customers can easily deploy Qdrant on their DigitalOcean Kubernetes (DOKS) clusters through a simple Kubernetis-native “One-line” installment. This simplicity allows businesses to start small and scale efficiently. - **Simple Deployment**: Leveraging Kubernetes, deploying Qdrant Hybrid Cloud on DigitalOcean is streamlined, making the management of vector search workloads in the own environment more efficient. + - **Own Infrastructure**: Hosting the vector database on your own DigitalOcean infrastructure in a managed way, provides flexibility and allows you to manage the full AI stack in one place. + - **Data Control**: Deploying within the own DigitalOcean environment ensures data control, keeping sensitive information within the own security perimeter. To get Qdrant Hybrid Cloud setup on DigitalOcean, just follow these steps: - **Hybrid Cloud Setup**: Begin by logging into your [Qdrant Cloud account](https://cloud.qdrant.io/login) and enable the 'Hybrid Cloud' feature. + - **Cluster Configuration**: Go to the Hybrid Cloud settings and integrate your DigitalOcean Kubernetes clusters as a private region. + - **Simplified Deployment**: Use the Qdrant Management Console to effortlessly establish and oversee your Qdrant clusters on DigitalOcean. For a comprehensive guide, our documentation provides detailed instructions on setting up Qdrant on DigitalOcean. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-haystack.md b/qdrant-landing/content/blog/hybrid-cloud-haystack.md index 3f596a1f8..fd605f1f3 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-haystack.md +++ b/qdrant-landing/content/blog/hybrid-cloud-haystack.md @@ -30,7 +30,7 @@ Building apps with Qdrant Hybrid Cloud and deepset’s framework has become even **Flexible & Customizable:** The open-source nature of Qdrant and Haystack’s 2.0 makes it easy to extend the capabilities of both products through customization. When tailoring vector RAG systems to their own needs, users can develop custom components and plug them into both Qdrant Hybrid Cloud and Haystack for maximum modularity. [Creating custom components](https://docs.haystack.deepset.ai/docs/custom-components) is a core functionality. -#### Learn How to Build a Production-Level RAG Service With Qdrant and Haystack +#### Learn How to Build a Production-Level RAG Service with Qdrant and Haystack ![hybrid-cloud-haystack-tutorial](/blog/hybrid-cloud-haystack/hybrid-cloud-haystack-tutorial.png) @@ -42,7 +42,7 @@ Learn how to develop a tutor chatbot from online course materials. You will crea [Try the Tutorial](/documentation/tutorials/rag-chatbot-red-hat-openshift-haystack/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. diff --git a/qdrant-landing/content/blog/hybrid-cloud-jinaai.md b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md index 8d0193614..a4ebd1836 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-jinaai.md +++ b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md @@ -40,12 +40,12 @@ Learn how to build an app that retrieves information from PDF user manuals to en [Try the Tutorial](/documentation/tutorials/hybrid-search-llamaindex-jinaai/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md index 7264e4065..35f81fe6a 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md +++ b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md @@ -18,19 +18,19 @@ With the launch of Qdrant Hybrid Cloud we provide developers the ability to depl We are excited to have trusted industry players support the launch of Qdrant Hybrid Cloud, allowing developers to unlock best-in-class advantages for building production-ready AI applications: -- **Deploy In Your Own Environment:** Deploy the Qdrant vector database as a managed service on the infrastructure of choice, such as our launch partner solutions **Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, Vultr, DigitalOcean, OVHcloud, Scaleway, STACKIT**, and **Civo** +- **Deploy In Your Own Environment:** Deploy the Qdrant vector database as a managed service on the infrastructure of choice, such as our launch partner solutions **Oracle Cloud Infrastructure (OCI)**, [Red Hat OpenShift](/blog/hybrid-cloud-red-hat-openshift/), [Vultr](/blog/hybrid-cloud-vultr/), [DigitalOcean](/blog/hybrid-cloud-digitalocean/), [OVHcloud](/blog/hybrid-cloud-ovhcloud/), [Scaleway](/blog/hybrid-cloud-scaleway/), and [STACKIT](/blog/hybrid-cloud-stackit/). -- **Seamlessly Integrate with Every Key Component of the Modern AI Stack:** Our new hybrid cloud offering also allows you to integrate with all of the relevant solutions for building AI applications. These include partner frameworks like **LlamaIndex**, **Haystack by deepset**, and **Airbyte**, as well as large language models (LLMs) like **Cohere**, **JinaAI**, and **AlephAlpha**. +- **Seamlessly Integrate with Every Key Component of the Modern AI Stack:** Our new hybrid cloud offering also allows you to integrate with all of the relevant solutions for building AI applications. These include partner frameworks like [LlamaIndex](/blog/hybrid-cloud-llamaindex/), **LangChain**, [Haystack by deepset](/blog/hybrid-cloud-haystack/), and [Airbyte](/blog/hybrid-cloud-airbyte/), as well as large language models (LLMs) like [JinaAI](/blog/hybrid-cloud-jinaai/) and [Aleph Alpha](/blog/hybrid-cloud-aleph-alpha/). - **Ensure Full Data Sovereignty and Privacy Control:** Qdrant Hybrid Cloud offers unparalleled data isolation and the flexibility to process workloads either in the cloud or on-premise, ensuring data privacy and sovereignty requirements - all while being fully managed. -#### Tutorials and Use Cases That Leverage Qdrant Hybrid Cloud and Trusted Partner Technologies +#### Try Qdrant Hybrid Cloud on Partner Platforms ![Hybrid Cloud Launch Partners Tutorials](/blog/hybrid-cloud-launch-partners/hybrid-cloud-launch-partners-tutorials.png) Together with our launch partners, we created in-depth tutorials and use cases for production-ready vector search that explain how developers can leverage Qdrant Hybrid Cloud alongside the best-in-class solutions of our launch partners. This provies to have the most flexible foundation to build modern, customer-centric AI applications with endless deployment options and full data sovereignty. Let’s dive right in: -**AI Customer Support Chatbot** with Qdrant Hybrid Cloud, Cohere, Airbyte, and AWS +**AI Customer Support Chatbot** with Qdrant Hybrid Cloud, Airbyte, Cohere, and AWS > This tutorial shows how to build a private AI customer support system using Cohere's AI models on AWS, Airbyte, and Qdrant Hybrid Cloud for efficient and secure query automation. @@ -82,22 +82,22 @@ Together with our launch partners, we created in-depth tutorials and use cases f Additionally, we built comprehensive documentation tutorials on how to successfully deploy Qdrant Hybrid Cloud on the right infrastructure of choice. For more information, please visit our documentation pages: -- How to Deploy Qdrant Hybrid Cloud on AWS -- How to Deploy Qdrant Hybrid Cloud on GCP -- How to Deploy Qdrant Hybrid Cloud on Azure -- How to Deploy Qdrant Hybrid Cloud on DigitalOcean -- How to Deploy Qdrant on Oracle Cloud -- How to Deploy Qdrant on Vultr -- How to Deploy Qdrant on Scaleway -- How to Deploy Qdrant on OVHcloud -- How to Deploy Qdrant on STACKIT -- How to Deploy Qdrant on Red Hat OpenShift -- How to Deploy Qdrant on Linode +- [How to Deploy Qdrant Hybrid Cloud on AWS](/documentation/hybrid-cloud/platform-deployment-options/#amazon-web-services-aws) +- [How to Deploy Qdrant Hybrid Cloud on GCP](/documentation/hybrid-cloud/platform-deployment-options/#google-cloud-platform-gcp) +- [How to Deploy Qdrant Hybrid Cloud on Azure](/documentation/hybrid-cloud/platform-deployment-options/#mircrosoft-azure) +- [How to Deploy Qdrant Hybrid Cloud on DigitalOcean](/documentation/hybrid-cloud/platform-deployment-options/#digital-ocean) +- [How to Deploy Qdrant on Oracle Cloud](/documentation/hybrid-cloud/platform-deployment-options/#oracle-cloud-infrastructure) +- [How to Deploy Qdrant on Vultr](/documentation/hybrid-cloud/platform-deployment-options/#vultr) +- [How to Deploy Qdrant on Scaleway](/documentation/hybrid-cloud/platform-deployment-options/#scaleway) +- [How to Deploy Qdrant on OVHcloud](/documentation/hybrid-cloud/platform-deployment-options/#ovhcloud) +- [How to Deploy Qdrant on STACKIT](/documentation/hybrid-cloud/platform-deployment-options/#stackit) +- [How to Deploy Qdrant on Red Hat OpenShift](/documentation/hybrid-cloud/platform-deployment-options/#redhat-openshift) +- [How to Deploy Qdrant on Linode](/documentation/hybrid-cloud/platform-deployment-options/#akamai-linode) -#### Get started now! +#### Get Started Now! -We are convinced that Qdrant Hybrid Cloud marks a significant advancement in vector databases, offering the most flexible way to implement vector search. +Qdrant Hybrid Cloud marks a significant advancement in vector databases, offering the most flexible way to implement vector search. -You can test out Qdrant Hybrid Cloud today! Simply sign up for or log into your [Qdrant Cloud account](https://cloud.qdrant.io/login) and get started in the Hybrid Cloud section. Also, to learn more about Qdrant Hybrid Cloud read our [Official Release Blog](/blog/hybrid-cloud/) or our Qdrant Hybrid Cloud website. For additional technical insights, please visit our documentation. +You can test out Qdrant Hybrid Cloud today! Simply sign up for or log into your [Qdrant Cloud account](https://cloud.qdrant.io/login) and get started in the **Hybrid Cloud** section. Also, to learn more about Qdrant Hybrid Cloud read our [Official Release Blog](/blog/hybrid-cloud/) or our Qdrant Hybrid Cloud website. For additional technical insights, please read our [documentation](/documentation/hybrid-cloud/). [![hybrid-cloud-get-started](/blog/hybrid-cloud-launch-partners/hybrid-cloud-get-started.png)](https://cloud.qdrant.io/login) \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md index 080e79ba5..8316bfff2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md +++ b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md @@ -1,6 +1,6 @@ --- draft: false -title: "New RAG Horizons with Qdrant Hybrid Cloud and LlamaIndex." +title: "New RAG Horizons with Qdrant Hybrid Cloud and LlamaIndex" short_description: "Unlock the most advanced RAG opportunities with Qdrant Hybrid Cloud and LlamaIndex." description: "Unlock the most advanced RAG opportunities with Qdrant Hybrid Cloud and LlamaIndex." preview_image: /blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex.png @@ -18,6 +18,8 @@ With Qdrant Hybrid Cloud, users have the flexibility to deploy their vector data While LLMs are trained on a great deal of data, they are not trained on user-specific data, which may be private or highly specific. LlamaIndex meets this challenge by adding context to LLM-based generation methods. In turn, Qdrant’s popular vector database sorts through semantically relevant information, which can further enrich the performance gains from LlamaIndex’s data connection features. With LlamaIndex, users can tap into state-of-the-art functions to query, chat, sort or parse data. Through the integration of Qdrant Hybrid Cloud and LlamaIndex developers can conveniently vectorize their data and perform highly accurate semantic search - all within their own environment. +> *“LlamaIndex is thrilled to partner with Qdrant on the launch of Qdrant Hybrid Cloud, which upholds Qdrant's core functionality within a Kubernetes-based architecture. This advancement enhances LlamaIndex's ability to support diverse user environments, facilitating the development and scaling of production-grade, context-augmented LLM applications.”* Jerry Liu, CEO and Co-Founder, LlamaIndex + #### Reap the Benefits of Advanced Integration Features With Qdrant and LlamaIndex Building apps with Qdrant Hybrid Cloud and LlamaIndex comes with several key advantages: @@ -30,22 +32,22 @@ Building apps with Qdrant Hybrid Cloud and LlamaIndex comes with several key adv #### Start Building With LlamaIndex and Qdrant Hybrid Cloud: Hybrid Search in Complex PDF Documentation Use Cases -![hybrid-cloud-llamaindex-tutorial](/blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex-tutorial.png) - To get you started, we created a comprehensive tutorial that shows how to build next-gen AI applications with Qdrant Hybrid Cloud using the LlamaIndex framework and the LlamaParse API. +![hybrid-cloud-llamaindex-tutorial](/blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex-tutorial.png) + #### Tutorial: Hybrid Search for Household Appliance Manuals Use this end-to-end tutorial to create a system that retrieves information from complex user manuals in PDF format to enhance user experience for companies that sell household appliances. You will build a RAG pipeline with LlamaIndex leveraging Qdrant Hybrid Cloud for enhanced generative AI capabilities. The LlamaIndex integration shows how complex tables inside of items’ PDF documents can be processed via hybrid vector search with no additional configuration. [Try the Tutorial](/documentation/tutorials/hybrid-search-llamaindex-jinaai/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks Our simple Kubernetes-native design lets you deploy Qdrant Hybrid Cloud on your hosting platform of choice in just a few steps. Learn how in our documentation. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md b/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md index 6d9611166..cbc0d5e55 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md +++ b/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md @@ -1,5 +1,5 @@ --- -draft: false +draft: true title: "OCI and Qdrant Hybrid Cloud for Maximum Data Sovereignty" short_description: "Qdrant Hybrid Cloud is now available for OCI customers as a managed vector search engine for data-sensitive AI apps." description: "Qdrant Hybrid Cloud is now available for OCI customers as a managed vector search engine for data-sensitive AI apps." @@ -16,18 +16,21 @@ Qdrant and Oracle Cloud Infrastructure (OCI) Cloud Engineering are thrilled to a In the past years, enterprises have been actively engaged in exploring AI applications to enhance their products and services or unlock internal company knowledge to drive the productivity of teams. These applications range from generative AI use cases, for example, powered by retrieval augmented generation (RAG), recommendation systems, or advanced enterprise search through semantic, similarity, or neural search. As these vector search applications continue to evolve and grow with respect to dimensionality and complexity, it will be increasingly relevant to have a scalable, manageable vector search engine, also called out by Gartner’s 2024 Impact Radar. In addition to scalability, enterprises also require flexibility in deployment options to be able to maximize the use of these new AI tools within their existing environment, ensuring interoperability and full control over their data. -"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure," said Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle. "By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data." +> *"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure. By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data."* Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle. -#### How Qdrant and OCI Support Enterprises in Unlocking Value through AI +#### How Qdrant and OCI Support Enterprises in Unlocking Value Through AI Deploying Qdrant Hybrid Cloud on OCI facilitates vector search in production environments without altering existing setups, ideal for enterprises and developers leveraging OCI's services. Key benefits include: - **Seamless Deployment:** Qdrant Hybrid Cloud’s Kubernetes-native architecture allows to simply connect your OCI cluster as a private region and deploy Qdrant with a one-step installation ensuring a smooth and scalable setup. + - **Seamless Integration with OCI Services:** The integration facilitates efficient resource utilization and enhances security provisions by leveraging OCI's comprehensive suite of services. + - **Simplified Cluster Management**: Qdrant’s central cluster management allows to scale your cluster on OCI (vertically and horizontally), and supports seamless zero-downtime upgrades and disaster recovery, + - **Control and Data Privacy**: Deploying Qdrant on OCI ensures complete data isolation, while enjoying the benefits of a fully managed cluster management. -#### Qdrant on OCI in Action: Building a RAG System for AI-enabled Support +#### Qdrant on OCI in Action: Building a RAG System for AI-Enabled Support ![hybrid-cloud-oracle-cloud-infrastructure-tutorial](/blog/hybrid-cloud-oracle-cloud-infrastructure/hybrid-cloud-oracle-cloud-infrastructure-tutorial.png) @@ -38,13 +41,15 @@ We created a comprehensive tutorial to show how to leverage the benefits of Qdra Deploying Qdrant Hybrid Cloud on Oracle Cloud Infrastructure only takes a few minutes due to the seamless Kubernetes-native integration. You can get started by following these three steps: 1. **Hybrid Cloud Activation**: Start by signing into your [Qdrant Cloud account](https://qdrant.to/cloud) and activate ‘Hybrid Cloud’. + 2. **Cluster Integration**: In the Hybrid Cloud section, add your OCI Kubernetes clusters as a private region. + 3. **Effortless Deployment**: Utilize the Qdrant Management Console to seamlessly create and manage your Qdrant clusters on OCI. You can find a detailed description in our documentation focused on deploying Qdrant on OCI. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md index 493dd8f63..4303b761c 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md @@ -21,11 +21,14 @@ Deploying Qdrant Hybrid Cloud on OVHcloud's infrastructure represents a signific Through the seamless integration between Qdrant Hybrid Cloud and OVHcloud, developers and businesses are able to deploy the fully managed vector database within their existing OVHcloud setups in minutes, enabling faster, more accurate AI-driven insights. - **Simple setup:** With the seamless “one-click” installation, developers are able to deploy Qdrant’s fully managed vector database to their existing OVHcloud environment. + - **Trust and data sovereignty**: Deploying Qdrant Hybrid Cloud on OVHcloud enables developers with vector search that prioritizes data sovereignty, a crucial aspect in today's AI landscape where data privacy and control are essential. True to its “Sovereign by design” DNA, OVHcloud guarantees that all the data stored are immune to extraterritorial laws and comply with the highest security standards. + - **Open standards and open ecosystem**: OVHcloud’s commitment to open standards and an open ecosystem not only facilitates the easy integration of Qdrant Hybrid Cloud with OVHcloud’s AI services and GPU-powered instances but also ensures compatibility with a wide range of external services and applications, enabling seamless data workflows across the modern AI stack. + - **Cost efficient sector search:** By leveraging Qdrant's quantization for efficient data handling and pairing it with OVHcloud's eco-friendly, water-cooled infrastructure, known for its superior price/performance ratio, this collaboration provides a strong foundation for cost efficient vector search. -#### Build a Recommendation System with Collaborative Filtering Using Sparse Vectors with Qdrant Hybrid Cloud and OVHcloud +#### Build a RAG-Based System with Qdrant Hybrid Cloud and OVHcloud ![hybrid-cloud-ovhcloud-tutorial](/blog/hybrid-cloud-ovhcloud/hybrid-cloud-ovhcloud-tutorial.png) @@ -33,16 +36,18 @@ To show how Qdrant Hybrid Cloud deployed on OVHcloud allows developers to levera [Try the Tutorial](/documentation/tutorials/recommendation-system-ovhcloud/) -#### Get started today and leverage the benefits of Qdrant Hybrid Cloud +#### Get Started Today and Leverage the Benefits of Qdrant Hybrid Cloud Setting up Qdrant Hybrid Cloud on OVHcloud is straightforward and quick, thanks to the intuitive integration with Kubernetes. Here's how: - **Hybrid Cloud Activation**: Log into your Qdrant account and enable 'Hybrid Cloud'. + - **Cluster Integration**: Add your OVHcloud Kubernetes clusters as a private region in the Hybrid Cloud settings. + - **Effortless Deployment**: Use the Qdrant Management Console for easy deployment and management of Qdrant clusters on OVHcloud. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md b/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md index ee14f9ddf..b93f4cc85 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md +++ b/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md @@ -16,19 +16,26 @@ We’re excited about our collaboration with Red Hat to bring the Qdrant vector In the rapidly evolving field of Artificial Intelligence and Machine Learning, the demand for being able to manage the modern AI stack within the existing infrastructure becomes increasingly relevant for businesses. As enterprises are launching new AI applications and use cases into production, they require the ability to maintain complete control over their data, since these new apps often work with sensitive internal and customer-centric data that needs to remain within the owned premises. This is why enterprises are increasingly looking for maximum deployment flexibility for their AI workloads. +>*“Red Hat is committed to driving transparency, flexibility and choice for organizations to more easily unlock the power of AI. By working with partners like Qdrant to enable streamlined integration experiences on Red Hat OpenShift for AI use cases, organizations can more effectively harness critical data and deliver real business outcomes,”* said Steven Huels, Vice President and General Manager, AI Business Unit, Red Hat. + #### The Synergy of Qdrant Hybrid Cloud and Red Hat OpenShift Qdrant Hybrid Cloud is the first vector database that can be deployed anywhere, with complete database isolation, while still providing a fully managed cluster management. Running Qdrant Hybrid Cloud on Red Hat OpenShift allows enterprises to deploy and run a fully managed vector database in their own environment, ultimately allowing businesses to run managed vector search on their existing cloud and infrastructure environments, with full data sovereignty. Red Hat OpenShift, the industry’s leading hybrid cloud application platform powered by Kubernetes, helps streamline the deployment of Qdrant Hybrid Cloud within an enterprise's secure premises. Red Hat OpenShift provides features like auto-scaling, load balancing, and advanced security controls that can help you manage and maintain your vector database deployments more effectively. In addition, Red Hat OpenShift supports deployment across multiple environments, including on-premises, public, private and hybrid cloud landscapes. This flexibility, coupled with Qdrant Hybrid Cloud, allows organizations to choose the deployment model that best suits their needs. -#### Why run Qdrant Hybrid Cloud on Red Hat OpenShift? +#### Why Run Qdrant Hybrid Cloud on Red Hat OpenShift? - **Scalability**: Red Hat OpenShift's container orchestration effortlessly scales Qdrant Hybrid Cloud components, accommodating fluctuating workload demands with ease. + - **Portability**: The consistency across hybrid cloud environments provided by Red Hat OpenShift allows for smoother operation of Qdrant Hybrid Cloud across various infrastructures. + - **Automation**: Deployment, scaling, and management tasks are automated, reducing operational overhead and simplifying the management of Qdrant Hybrid Cloud. + - **Security**: Red Hat OpenShift provides built-in security features, including container isolation, network policies, and role-based access control (RBAC), enhancing the security posture of Qdrant Hybrid Cloud deployments. + - **Flexibility:** Red Hat OpenShift supports a wide range of programming languages, frameworks, and tools, providing flexibility in developing and deploying Qdrant Hybrid Cloud applications. + - **Integration:** Red Hat OpenShift can be integrated with various Red Hat and third-party tools, facilitating seamless integration of Qdrant Hybrid Cloud with other enterprise systems and services. @@ -38,13 +45,15 @@ We're thrilled about our collaboration with Red Hat to help simplify AI infrastr To get started, we created a comprehensive tutorial that shows how to build next-gen AI applications with Qdrant Hybrid Cloud on Red Hat OpenShift. Additionally, you can find more details on the seamless deployment process in our documentation: +![hybrid-cloud-red-hat-openshift-tutorial](/blog/hybrid-cloud-red-hat-openshift/hybrid-cloud-red-hat-openshift-tutorial.png) + #### Tutorial: Private Chatbot for Interactive Learning Learn how to develop a Retrieval Augmented Generation (RAG) pipeline with Qdrant Hybrid Cloud on Red Hat OpenShift, leveraging Haystack for enhanced generative AI capabilities. This tutorial especially explores how this setup ensures that not a single data point leaves the environment. [Try the Tutorial](/documentation/tutorials/rag-chatbot-red-hat-openshift-haystack/) -#### Documentation: Deploy Qdrant in a few clicks +#### Documentation: Deploy Qdrant in a Few Clicks > Our simple Kubernetes-native design allows you to deploy Qdrant Hybrid Cloud on your Red Hat OpenShift instance in just a few steps. Learn how in our documentation. @@ -52,7 +61,7 @@ Learn how to develop a Retrieval Augmented Generation (RAG) pipeline with Qdrant This collaboration marks an important milestone in the quest for simplified AI infrastructure, offering a robust, scalable, and security-optimized solution for managing vector databases in a hybrid cloud environment. The combination of Qdrant's performance and Red Hat OpenShift's operational excellence opens new avenues for enterprises looking to leverage the power of AI and ML. -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). diff --git a/qdrant-landing/content/blog/hybrid-cloud-scaleway.md b/qdrant-landing/content/blog/hybrid-cloud-scaleway.md index 4e59533c0..70e06f73b 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-scaleway.md +++ b/qdrant-landing/content/blog/hybrid-cloud-scaleway.md @@ -35,22 +35,27 @@ We created a tutorial that guides you through setting up and leveraging Qdrant H Choosing Qdrant Hybrid Cloud and Scaleway for AI applications offers several key advantages: - **AI-Focused Resources:** Scaleway aims to be the cloud provider of choice for AI companies, offering the resources and infrastructure to power complex AI and machine learning workloads, helping to advance the development and deployment of AI technologies. This paired with Qdrant Hybrid Cloud provides a strong foundational platform for advanced AI applications. + - **Scalable Vector Search:** Qdrant Hybrid Cloud provides a fully managed vector database that allows to effortlessly scale the setup through vertical or horizontal scaling. Deployed on Scaleway, this is a robust setup that is designed to meet the needs of businesses at every stage of growth, from startups to large enterprises, ensuring a full spectrum of solutions for various projects and workloads. + - **European Roots and Focus**: With a strong presence in Europe and a commitment to supporting the European tech ecosystem, Scaleway is ideally positioned to partner with European-based companies like Qdrant, providing local expertise and infrastructure that aligns with European regulatory standards. + - **Sustainability Commitment**: Scaleway leads with an eco-conscious approach, featuring adiabatic data centers that significantly reduce cooling costs and environmental impact. Scaleway prioritizes extending hardware lifecycle beyond industry norms to lessen our ecological footprint. -#### Get Started In a Few Seconds +#### Get Started in a Few Seconds Setting up Qdrant Hybrid Cloud on Scaleway is streamlined and quick, thanks to its Kubernetes-native architecture. Follow these simple three steps to launch: 1. **Activate Hybrid Cloud**: First, log into your [Qdrant Cloud account](https://cloud.qdrant.io/login) and select ‘Hybrid Cloud’ to activate. + 2. **Integrate Your Clusters**: Navigate to the Hybrid Cloud settings and add your Scaleway Kubernetes clusters as a private region. + 3. **Simplified Management**: Use the Qdrant Management Console for easy creation and oversight of your Qdrant clusters on Scaleway. For more comprehensive guidance, our documentation provides step-by-step instructions for deploying Qdrant on Scaleway. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-stackit.md b/qdrant-landing/content/blog/hybrid-cloud-stackit.md index 0d29cfba6..8d2ee22c6 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-stackit.md +++ b/qdrant-landing/content/blog/hybrid-cloud-stackit.md @@ -21,7 +21,9 @@ Qdrant Hybrid Cloud is the first managed vector database that can be deployed in #### Key Features and Benefits of Qdrant on STACKIT: - **Seamless Integration and Deployment**: With Qdrant’s Kubernetes-native design, businesses can effortlessly connect their STACKIT cloud as a private region, enabling a one-step, scalable Qdrant deployment. + - **Enhanced Data Privacy**: Leveraging STACKIT's German data centers ensures that all data processing complies with GDPR and other relevant European data protection standards, providing businesses with unparalleled control over their data. + - **Scalable and Managed AI Solutions**: Deploying Qdrant on STACKIT provides a fully managed vector search engine with the ability to scale vertically and horizontally, with robust support for zero-downtime upgrades and disaster recovery, all within STACKIT's secure infrastructure. #### Use Case: AI-enabled Contract Management built with Qdrant Hybrid Cloud, STACKIT, and Aleph Alpha @@ -37,13 +39,15 @@ To demonstrate the power of Qdrant Hybrid Cloud on STACKIT, we’ve developed a Deploying Qdrant Hybrid Cloud on STACKIT is straightforward, thanks to the seamless integration facilitated by Kubernetes. Here are the steps to kickstart your journey: 1. **Qdrant Hybrid Cloud Activation**: Start by activating ‘Hybrid Cloud’ in your [Qdrant Cloud account](https://cloud.qdrant.io/login). + 2. **Cluster Integration**: Add your STACKIT Kubernetes clusters as a private region in the Hybrid Cloud section. + 3. **Effortless Deployment**: Use the Qdrant Management Console to effortlessly create and manage your Qdrant clusters on STACKIT. We invite you to explore the detailed documentation on deploying Qdrant on STACKIT, designed to guide you through each step of the process seamlessly. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud-vultr.md b/qdrant-landing/content/blog/hybrid-cloud-vultr.md index 0d90b8ad1..8cf997982 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-vultr.md +++ b/qdrant-landing/content/blog/hybrid-cloud-vultr.md @@ -27,17 +27,20 @@ Recognizing this, Qdrant and Vultr have teamed up to offer developers unpreceden Together, Qdrant Hybrid Cloud and Vultr offer enhanced AI and ML development with streamlined benefits: - **Simple and Flexible Deployment:** Deploy Qdrant Hybrid Cloud on Vultr in a few minutes with a simple “one-click” installation by adding your Vutlr environment as a private region to Qdrant. + - **Scalability and Customizability**: Qdrant’s efficient data handling and Vultr’s scalable infrastructure means projects can be adjusted dynamically to workload demands, optimizing costs without compromising performance or capabilities. + - **Unified AI Stack Management:** Seamlessly manage the entire lifecycle of AI applications, from vector search with Qdrant Hybrid Cloud to deployment and scaling with the Vultr platform and its AI and ML solutions, all within a single, integrated environment. This setup simplifies workflows, reduces complexity, accelerates development cycles, and simplifies the integration with other elements of the AI stack like model development, finetuning, or inference and training. + - **Global Reach, Local Execution**: With Vultr's worldwide infrastructure and Qdrant's fast vector search, deploy AI solutions globally while ensuring low latency and compliance with local data regulations, enhancing user satisfaction. #### Getting Started with Qdrant Hybrid Cloud and Vultr -![hybrid-cloud-vultr-tutorial](/blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png) - We've compiled an in-depth guide for leveraging Qdrant Hybrid Cloud on Vultr to kick off your journey into building cutting-edge AI solutions. For further insights into the deployment process, refer to our comprehensive documentation. -#### Tutorial Crafting a Personalized AI Assistant with RAG +![hybrid-cloud-vultr-tutorial](/blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png) + +#### Tutorial: Crafting a Personalized AI Assistant with RAG This tutorial outlines creating a personalized AI assistant using Qdrant Hybrid Cloud on Vultr, incorporating advanced vector search to power dynamic, interactive experiences. We will develop a RAG pipeline powered by DSPy and detail how to maintain data privacy within your Vultr environment. @@ -49,6 +52,6 @@ Our Kubernetes-native framework simplifies the deployment of Qdrant Hybrid Cloud [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -#### Ready to get started? +#### Ready to Get Started? Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/). \ No newline at end of file diff --git a/qdrant-landing/content/blog/hybrid-cloud.md b/qdrant-landing/content/blog/hybrid-cloud.md index e7446fec2..000535b75 100644 --- a/qdrant-landing/content/blog/hybrid-cloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud.md @@ -13,18 +13,19 @@ tags: - Hybrid Cloud --- -Qdrant Hybrid Cloud: Introducing the First Managed Vector Database You Can Run Anywhere with Unmatched Flexibility and Control +We are excited to announce the official launch of **Qdrant Hybrid Cloud** today, a significant leap forward in the field of vector search and enterprise AI. Rooted in our open-source origin, we are committed to offering our users and customers unparalleled control and sovereignty over their data and vector search workloads. Qdrant Hybrid Cloud stands as the industry's first managed vector database that can be deployed in any environment - be it cloud, on-premise, or the edge. -We are excited to announce the official launch of Qdrant Hybrid Cloud today, a significant leap forward in the field of vector search and enterprise AI. Rooted in our open-source origin, we’re committed to offering our users and customers unparalleled control and sovereignty over their data and vector search workloads. Qdrant Hybrid Cloud stands as the industry's first managed vector database that can be deployed in any environment - be it cloud, on-premise, or the edge. +As the AI application landscape evolves, the industry is transitioning from prototyping innovative AI solutions to actively deploying AI applications into production (incl. GenAI, semantic search, or recommendation systems). In this new phase, **privacy**, **data sovereignty**, **deployment flexibility**, and **control** are at the top of developers’ minds. These factors are critical when developing, launching, and scaling new applications, whether they are customer-facing services like AI assistants or internal company solutions for knowledge and information retrieval or process automation. -Looking at the evolution of the AI application landscape (incl. GenAI, semantic search, or recommendation systems) over recent years, it's clear that developers’ and machine learning engineers’ needs and expectations for the modern AI stack have advanced. The industry is swiftly transitioning from a phase heavily focused on prototyping innovative AI solutions to a stage where businesses are actively deploying AI applications into production. In this new phase, considerations such as **privacy**, **data sovereignty**, **deployment flexibility**, and **control** have become top of mind for developers. These factors are critical when developing, launching, and scaling new applications, whether they are customer-facing services like AI assistants or internal company solutions for knowledge and information retrieval or process automation. - -Qdrant Hybrid Cloud provides developers a vector database that can be deployed in their existing environment, ensuring data sovereignty and privacy control through complete database isolation - all while being fully managed. +Qdrant Hybrid Cloud offers developers a vector database that can be deployed in any existing environment, ensuring data sovereignty and privacy control through complete database isolation - with the full capabilities of our managed cloud service. - **Unmatched Deployment Flexibility**: With its Kubernetes-native architecture, Qdrant Hybrid Cloud provides the ability to bring your own cloud or compute by deploying Qdrant as a managed service on the infrastructure of choice, such as Oracle Cloud Infrastructure (OCI), Vultr, Red Hat OpenShift, DigitalOcean, OVHcloud, Scaleway, STACKIT, Civo, VMware vSphere, AWS, Google Cloud, or Microsoft Azure. + - **Privacy & Data Sovereignty**: Qdrant Hybrid Cloud offers unparalleled data isolation and the flexibility to process vector search workloads in their own environments. + - **Scalable & Secure Architecture**: Qdrant Hybrid Cloud's design ensures scalability and adaptability with its Kubernetes-native architecture, separates data and control for enhanced security, and offers a unified management interface for ease of use, enabling businesses to grow and adapt without compromising privacy or control. -- **Effortless Setup in Seconds**: Setting up Qdrant Hybrid Cloud is incredibly straightforward, thanks to a "One-Step" Kubernetes installation that connects effortlessly with your chosen infrastructure, enabling secure, scalable deployments right from the get-go + +- **Effortless Setup in Seconds**: Setting up Qdrant Hybrid Cloud is incredibly straightforward, thanks to our [simple Kubernetes installation](/documentation/hybrid-cloud/) that connects effortlessly with your chosen infrastructure, enabling secure, scalable deployments right from the get-go Let’s explore these aspects in more detail: @@ -32,42 +33,46 @@ Let’s explore these aspects in more detail: ![hybrid-cloud-environments](/blog/hybrid-cloud/hybrid-cloud-environments.png) -Our Qdrant Hybrid Cloud is the first managed vector database engineered for unmatched deployment flexibility and control, enabling use across any cloud, on-premise, or edge locations. This means that regardless of where you choose to run your AI applications, you can now enjoy the benefits of a fully managed Qdrant vector database, simplifying operations. +Qdrant Hybrid Cloud, powered by our seamless Kubernetes-native architecture, is the first managed vector database engineered for unparalleled deployment flexibility. This means that regardless of where you run your AI applications, you can now enjoy the benefits of a fully managed Qdrant vector database, simplifying operations across any cloud, on-premise, or edge locations. -This unparalleled deployment flexibility, powered by our seamless Kubernetes-native architecture, allows for deployment beyond traditional platforms like AWS, Google Cloud, or Microsoft Azure, reaching into diverse environments with ease. +For this launch of Qdrant Hybrid Cloud, we are proud to collaborate with key cloud providers, including **Oracle Cloud Infrastructure (OCI)**, [Red Hat OpenShift](/blog/hybrid-cloud-red-hat-openshift/), [Vultr](/blog/hybrid-cloud-vultr/), [DigitalOcean](/blog/hybrid-cloud-digitalocean/), [OVHcloud](/blog/hybrid-cloud-ovhcloud/), [Scaleway](/blog/hybrid-cloud-scaleway/), and [STACKIT](/blog/hybrid-cloud-stackit/). These partnerships underscore our commitment to delivering a versatile and robust vector database solution that meets the complex deployment requirements of today's AI applications. -For this launch of Qdrant Hybrid Cloud, we are proud to collaborate with key cloud providers, including **Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, Vultr, DigitalOcean, OVHcloud, Scaleway, STACKIT, and Civo**. These partnerships underscore our commitment to delivering a versatile and robust vector database solution that meets the complex deployment requirements of today's AI applications. +In addition to our partnerships with key cloud providers, we are also launching in collaboration with renowned AI development tools and framework leaders, including [LlamaIndex](/blog/hybrid-cloud-llamaindex/), **LangChain**, [Airbyte](/blog/hybrid-cloud-airbyte/), [JinaAI](/blog/hybrid-cloud-jinaai/), [Haystack by deepset](/blog/hybrid-cloud-haystack/), and [Aleph Alpha](/blog/hybrid-cloud-aleph-alpha/). These launch partners are instrumental in ensuring our users can seamlessly integrate with essential technologies for their AI applications, enriching our offering and reinforcing our commitment to versatile and comprehensive deployment environments. -In addition to our partnerships with key cloud providers, we are also launching in collaboration with renowned AI development tools and framework leaders, including **LlamaIndex**, **Cohere**, **Airbyte**, **JinaAI**, **Haystack by deepset**, and **AlephAlpha**. These launch partners are instrumental in ensuring our users can seamlessly integrate with essential technologies for their AI applications, enriching our offering and reinforcing our commitment to versatile and comprehensive deployment environments. - -Together with our launch partners we have created detailed tutorials that show how to build cutting-edge AI applications with Qdrant Hybrid Cloud on the infrastructure of your choice. These tutorials are available in our launch partner blog. Additionally, you can find expansive documentation and tutorials on how to deploy Qdrant Hybrid Cloud. +Together with our launch partners we have created detailed tutorials that show how to build cutting-edge AI applications with Qdrant Hybrid Cloud on the infrastructure of your choice. These tutorials are available in our [launch partner blog](/blog/hybrid-cloud-launch-partners/). Additionally, you can find expansive [documentation](/documentation/hybrid-cloud/) and instructions on how to [deploy Qdrant Hybrid Cloud](/documentation/hybrid-cloud/hybrid-cloud-setup/). #### Powering Vector Search & AI with Unmatched Data Sovereignty -Proprietary data, the lifeblood of AI-driven innovation, fuels personalized experiences, accurate recommendations, and timely anomaly detection. This data, unique to each organization, encompasses customer behaviors, internal processes, and market insights - crucial for tailoring AI applications to specific business needs and competitive differentiation. However, leveraging such data effectively while ensuring its security, privacy, and control requires diligence. +Proprietary data, the lifeblood of AI-driven innovation, fuels personalized experiences, accurate recommendations, and timely anomaly detection. This data, unique to each organization, encompasses customer behaviors, internal processes, and market insights - crucial for tailoring AI applications to specific business needs and competitive differentiation. However, leveraging such data effectively while ensuring its **security, privacy, and control** requires diligence. -Our Qdrant Hybrid Cloud offering is tailored to meet these multifaceted requirements in a data-sensitive world. The innovative architecture of Qdrant Hybrid Cloud ensures complete database isolation, empowering developers with the autonomy to decide where to process their vector search workloads, thus maintaining total data sovereignty. This strategic approach, rooted deeply in our commitment to open-source principles, is aimed at fostering a new level of trust and reliability by providing the essential tools to navigate the evolving landscape of enterprise AI. +The innovative architecture of Qdrant Hybrid Cloud ensures **complete database isolation**, empowering developers with the autonomy to tailor where they process their vector search workloads with total data sovereignty. Rooted deeply in our commitment to open-source principles, this approach aims to foster a new level of trust and reliability by providing the essential tools to navigate the exciting landscape of enterprise AI. #### How We Designed the Qdrant Hybrid Cloud Architecture We designed the architecture of Qdrant Hybrid Cloud to meet the evolving needs of businesses seeking unparalleled flexibility, control, and privacy. - **Kubernetes-Native Design**: By embracing Kubernetes, we've ensured that our architecture is both scalable and adaptable. This choice supports our deployment flexibility principle, allowing Qdrant Hybrid Cloud to integrate seamlessly with any infrastructure that can run Kubernetes. + - **Decoupled Data and Control Planes**: Our architecture separates the data plane (where the data is stored and processed) from the control plane (which manages the cluster operations). This separation enhances security, allows for more granular control over the data, and enables the data plane to reside anywhere the user chooses. -- **Unified Management Interface**: Despite the underlying complexity and the diversity of deployment environments, we designed a unified, user-friendly interface that simplifies the Qdrant cluster management. This interface supports everything from deployment to scaling and upgrading operations, all accessible from the Qdrant Cloud portal. + +- **Unified Management Interface**: Despite the underlying complexity and the diversity of deployment environments, we designed a unified, user-friendly interface that simplifies the Qdrant cluster management. This interface supports everything from deployment to scaling and upgrading operations, all accessible from the [Qdrant Cloud portal](https://cloud.qdrant.io/login). + - **Extensible and Modular**: Recognizing the rapidly evolving nature of technology and enterprise needs, we built Qdrant Hybrid Cloud to be both extensible and modular. Users can easily integrate new services, data sources, and deployment environments as their requirements grow and change. +#### Diagram: Qdrant Hybrid Cloud Architecture ![hybrid-cloud-architecture](/blog/hybrid-cloud/hybrid-cloud-architecture.png) -#### Quickstart: Effortless Setup with our One-Step Installation +#### Quickstart: Effortless Setup with Our One-Step Installation We’ve made getting started with Qdrant Hybrid Cloud as simple as possible. The Kubernetes “One-Step” installation will allow you to connect with the infrastructure of your choice. This is how you can get started: -1. **Activate Hybrid Cloud**: Simply sign up for or log into your Qdrant Cloud account and enable the feature with a click on "request access to hybrid cloud." -2. **Onboard your Kubernetes cluster**: Navigate to the Hybrid Cloud section to add your Kubernetes cluster as a private region - be it in the cloud, on-premise, or at the edge. +1. **Activate Hybrid Cloud**: Simply sign up for or log into your [Qdrant Cloud](https://cloud.qdrant.io/login) account and navigate to the **Hybrid Cloud** section. + +2. **Onboard your Kubernetes cluster**: Follow the onboarding wizard and add your Kubernetes cluster as a private region - be it in the cloud, on-premise, or at the edge. + 3. **Deploy Qdrant clusters securely, with confidence:** Now, you can effortlessly create and manage Qdrant clusters in your own environment, directly from the central Qdrant Management Console. This supports horizontal and vertical scaling, zero-downtime upgrades, and disaster recovery seamlessly, allowing you to deploy anywhere with confidence. -Explore our detailed documentation and tutorials to seamlessly deploy Qdrant Hybrid Cloud in your preferred environment, and don't miss our launch partner blog post for practical insights. Start leveraging the full potential of Qdrant Hybrid Cloud and create your first Qdrant cluster today, unlocking the flexibility and control essential for your AI and vector search workloads. +Explore our [detailed documentation](/documentation/hybrid-cloud/) and [tutorials](/documentation/examples/) to seamlessly deploy Qdrant Hybrid Cloud in your preferred environment, and don't miss our [launch partner blog post](/blog/hybrid-cloud-launch-partners/) for practical insights. Start leveraging the full potential of Qdrant Hybrid Cloud and [create your first Qdrant cluster today](https://cloud.qdrant.io/login), unlocking the flexibility and control essential for your AI and vector search workloads. [![hybrid-cloud-get-started](/blog/hybrid-cloud/hybrid-cloud-get-started.png)](https://cloud.qdrant.io/login) @@ -75,14 +80,49 @@ Explore our detailed documentation and tutorials to seamlessly deploy Qdrant Hyb Thank you to our launch partners - learn what they have to say about Qdrant Hybrid Cloud: -#### Oracle: +#### Oracle Cloud Infrastructure: > *"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure. By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data."* Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle +#### Red Hat: +> *“Red Hat is committed to driving transparency, flexibility and choice for organizations to more easily unlock the power of AI. By working with partners like Qdrant to enable streamlined integration experiences on Red Hat OpenShift for AI use cases, organizations can more effectively harness critical data and deliver real business outcomes,”* said Steven Huels, vice president and general manager, AI Business Unit, Red Hat. + +Read more in our [official Red Hat Partner Blog](/blog/hybrid-cloud-red-hat-openshift/). + #### Vultr: > *"Our collaboration with Qdrant empowers developers to unlock the potential of vector search applications, such as RAG, by deploying Qdrant Hybrid Cloud with its high-performance search capabilities directly on Vultr's global, automated cloud infrastructure. This partnership creates a highly scalable and customizable platform, uniquely designed for deploying and managing AI workloads with unparalleled efficiency."* Kevin Cochrane, Vultr CMO. +Read more in our [official Vultr Partner Blog](/blog/hybrid-cloud-vultr/). + +#### DigitalOcean: +> *“Qdrant, with its seamless integration and robust performance, equips businesses to develop cutting-edge applications that truly resonate with their users. Through applications such as semantic search, Q&A systems, recommendation engines, image search, and RAG, DigitalOcean customers can leverage their data to the fullest, ensuring privacy and driving innovation.“* - Bikram Gupta, Lead Product Manager, Kubernetes & App Platform, DigitalOcean. + +Read more in our [official DigitalOcean Partner Blog](/blog/hybrid-cloud-digitalocean/). + #### Scaleway: > *"With our partnership with Qdrant, Scaleway reinforces its status as Europe's leading cloud provider for AI innovation. The integration of Qdrant's fast and accurate vector database enriches our expanding suite of AI solutions. This means you can build smarter, faster AI projects with us, worry-free about performance and security."* Frédéric Bardolle, Lead PM AI, Scaleway -#### Deepset: -> *“We hope that with Haystack 2.0 and our growing partnerships such as what we have here with Qdrant Hybrid Cloud, engineers are able to build AI systems with full autonomy. Both in how their pipelines are designed, and how their data are managed.”* Tuana Çelik, Developer Relations Lead, deepset. \ No newline at end of file +Read more in our [official Scaleway Partner Blog](/blog/hybrid-cloud-scaleway/). + +#### Airbyte: +> *“The Qdrant product lineup is a great fit for the Airbyte community. Native Python support pairs extremely well with our recent PyAirbyte launch, and the Qdrant K8 and Cloud offerings make a great complement for Airbyte OSS and Airbyte Cloud users, respectively. We’re excited to be working with Qdrant to unlock new and exciting use cases for AI and Data.”* AJ Steers, Staff Engineer for AI, Airbyte + +Read more in our [official Airbyte Partner Blog](/blog/hybrid-cloud-airbyte/). + +#### deepset: +> *“We hope that with Haystack 2.0 and our growing partnerships such as what we have here with Qdrant Hybrid Cloud, engineers are able to build AI systems with full autonomy. Both in how their pipelines are designed, and how their data are managed.”* Tuana Çelik, Developer Relations Lead, deepset. + +Read more in our [official Haystack by deepset Partner Blog](/blog/hybrid-cloud-haystack/). + +#### LlamaIndex: +> *“LlamaIndex is thrilled to partner with Qdrant on the launch of Qdrant Hybrid Cloud, which upholds Qdrant's core functionality within a Kubernetes-based architecture. This advancement enhances LlamaIndex's ability to support diverse user environments, facilitating the development and scaling of production-grade, context-augmented LLM applications.”* Jerry Liu, CEO and Co-Founder, LlamaIndex + +Read more in our [official LlamaIndex Partner Blog](/blog/hybrid-cloud-llamaindex/). + +#### ...and many more! + +We have launched Qdrant Hybrid Cloud with additional reputable partners around the world. Learn more from each of their blogs: + +- **Aleph Alpha:** [Enhance AI Data Sovereignty with Aleph Alpha and Qdrant Hybrid Cloud](/blog/hybrid-cloud-aleph-alpha/) +- **STACKIT:** [STACKIT and Qdrant Hybrid Cloud for Best Data Privacy](/blog/hybrid-cloud-stackit/) +- **OVHcloud:** [Qdrant and OVHcloud Bring Vector Search to All Enterprises](/blog/hybrid-cloud-ovhcloud/) +- **Jina AI:** [Cutting-Edge GenAI with Jina AI and Qdrant Hybrid Cloud](/blog/hybrid-cloud-jinaai/) diff --git a/qdrant-landing/content/documentation/examples/hybrid-search-llamaindex-jinaai.md b/qdrant-landing/content/documentation/examples/hybrid-search-llamaindex-jinaai.md index 5580a0a3c..b6951845b 100644 --- a/qdrant-landing/content/documentation/examples/hybrid-search-llamaindex-jinaai.md +++ b/qdrant-landing/content/documentation/examples/hybrid-search-llamaindex-jinaai.md @@ -1,6 +1,7 @@ --- title: Chat With Product PDF Manuals Using Hybrid Search weight: 27 +preview_image: /blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex-tutorial.png aliases: - /documentation/tutorials/hybrid-search-llamaindex-jinaai/ --- diff --git a/qdrant-landing/content/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain.md b/qdrant-landing/content/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain.md index e273ee1f8..a3b3faaa2 100644 --- a/qdrant-landing/content/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain.md +++ b/qdrant-landing/content/documentation/examples/natural-language-search-oracle-cloud-infrastructure-cohere-langchain.md @@ -1,6 +1,7 @@ --- title: RAG System for Employee Onboarding weight: 30 +preview_image: /blog/hybrid-oracle-cloud-infrastructure/hybrid-cloud-oracle-cloud-infrastructure-tutorial.png aliases: - /documentation/tutorials/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/ --- @@ -18,7 +19,7 @@ would with a colleague? Technological advancements have made it possible to interact with websites using natural language. This tutorial will guide you through the process of integrating [Cohere](https://cohere.com/)'s language models with Qdrant to enable -natural language search on your documentation. We are going to use [Langchain](https://langchain.com/) as an +natural language search on your documentation. We are going to use [LangChain](https://langchain.com/) as an orchestrator. Everything will be hosted on [Oracle Cloud Infrastructure (OCI)](https://www.oracle.com/cloud/), so you can scale your application as needed, and do not send your data to third parties. That is especially important when you are working with confidential or sensitive data. diff --git a/qdrant-landing/content/documentation/examples/rag-chatbot-red-hat-openshift-haystack.md b/qdrant-landing/content/documentation/examples/rag-chatbot-red-hat-openshift-haystack.md index 0148dadca..b5f24af72 100644 --- a/qdrant-landing/content/documentation/examples/rag-chatbot-red-hat-openshift-haystack.md +++ b/qdrant-landing/content/documentation/examples/rag-chatbot-red-hat-openshift-haystack.md @@ -1,6 +1,7 @@ --- title: Private Chatbot for Interactive Learning weight: 23 +preview_image: /blog/hybrid-cloud-red-hat-openshift/hybrid-cloud-red-hat-openshift-tutorial.png aliases: - /documentation/tutorials/rag-chatbot-red-hat-openshift-haystack/ --- diff --git a/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md b/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md index fa74a7657..3e5a60ae4 100644 --- a/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md +++ b/qdrant-landing/content/documentation/examples/rag-chatbot-scaleway.md @@ -1,6 +1,7 @@ --- title: Blog-Reading RAG Chatbot weight: 35 +preview_image: /blog/hybrid-cloud-scaleway/hybrid-cloud-scaleway-tutorial.png aliases: - /documentation/tutorials/rag-chatbot-scaleway/ --- @@ -23,6 +24,13 @@ A notebook for this tutorial is available on [GitHub](https://github.com/qdrant/ - **LLM:** GPT-3.5, developed by OpenAI is utilized as the generator for producing answers. - **Framework:** [LangChain](https://www.langchain.com/) for extensive RAG capabilities. +## Deploying Qdrant Hybrid Cloud on Scaleway + +[Scaleway Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) and [Kosmos](https://www.scaleway.com/en/kubernetes-kosmos/) are managed Kubernetes services from [Scaleway](https://www.scaleway.com/en/). They abstract away the complexities of managing and operating a Kubernetes cluster. The primary difference being, Kapsule clusters are composed solely of Scaleway Instances. Whereas, a Kosmos cluster is a managed multi-cloud Kubernetes engine that allows you to connect instances from any cloud provider to a single managed Control-Plane. + +1. To start using managed Kubernetes on Scaleway, follow the [platform-specific documentation](/documentation/hybrid-cloud/platform-deployment-options/#scaleway). +2. Once your Kubernetes clusters are up, [you can begin deploying Qdrant Hybrid Cloud](/documentation/hybrid-cloud/). + ## Prerequisites To prepare the environment for working with Qdrant and related libraries, it's necessary to install all required Python packages. This can be done using Poetry, a tool for dependency management and packaging in Python. The code snippet imports various libraries essential for the tasks ahead, including `bs4` for parsing HTML and XML documents, `langchain` and its community extensions for working with language models and document loaders, and `Qdrant` for vector storage and retrieval. These imports lay the groundwork for utilizing Qdrant alongside other tools for natural language processing and machine learning tasks. diff --git a/qdrant-landing/content/documentation/examples/rag-chatbot-vultr-dspy-ollama.md b/qdrant-landing/content/documentation/examples/rag-chatbot-vultr-dspy-ollama.md index 714fec521..122dcbe70 100644 --- a/qdrant-landing/content/documentation/examples/rag-chatbot-vultr-dspy-ollama.md +++ b/qdrant-landing/content/documentation/examples/rag-chatbot-vultr-dspy-ollama.md @@ -1,6 +1,7 @@ --- title: Private RAG Information Extraction Engine weight: 32 +preview_image: /blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png aliases: - /documentation/tutorials/rag-chatbot-vultr-dspy-ollama/ --- @@ -27,12 +28,13 @@ If you work in a regulated industry, or just need to keep your data private, thi ![Architecture diagram](/documentation/examples/information-extraction-ollama-vultr/architecture-diagram.png) -## Configuring the environment +## CDeploying Qdrant Hybrid Cloud on Vultr All the services we are going to use in this tutorial will be running on [Vultr Kubernetes -Engine](https://www.vultr.com/kubernetes/). That gives us a lot of flexibility in terms of scaling and managing the -resources. Before we go further, make sure you have a Vultr account and a Kubernetes cluster running. Please follow the -[official documentation](https://docs.vultr.com/vultr-kubernetes-engine) to get everything up and running. +Engine](https://www.vultr.com/kubernetes/). That gives us a lot of flexibility in terms of scaling and managing the resources. Vultr manages the control plane and worker nodes and provides integration with other managed services such as Load Balancers, Block Storage, and DNS. + +1. To start using managed Kubernetes on Vultr, follow the [platform-specific documentation](/documentation/hybrid-cloud/platform-deployment-options/#vultr). +2. Once your Kubernetes clusters are up, [you can begin deploying Qdrant Hybrid Cloud](/documentation/hybrid-cloud/). ### Installing the necessary packages diff --git a/qdrant-landing/content/documentation/examples/rag-contract-management-stackit-aleph-alpha.md b/qdrant-landing/content/documentation/examples/rag-contract-management-stackit-aleph-alpha.md index 26e4738ff..9a20489b9 100644 --- a/qdrant-landing/content/documentation/examples/rag-contract-management-stackit-aleph-alpha.md +++ b/qdrant-landing/content/documentation/examples/rag-contract-management-stackit-aleph-alpha.md @@ -1,6 +1,7 @@ --- title: Region-Specific Contract Management System weight: 28 +preview_image: /blog/hybrid-cloud-aleph-alpha/hybrid-cloud-aleph-alpha-tutorial.png aliases: - /documentation/tutorials/rag-contract-management-stackit-aleph-alpha/ --- @@ -14,8 +15,6 @@ Contract management benefits greatly from Retrieval Augmented Generation (RAG), Companies want their data to be kept and processed within specific geographical boundaries. For that reason, this RAG-centric tutorial focuses on dealing with a region-specific cloud provider. You will set up a contract management system using [Aleph Alpha's](https://aleph-alpha.com/) embeddings and LLM. You will host everything on [STACKIT](https://www.stackit.de/), a German business cloud provider. On this platform, you will run Qdrant Hybrid Cloud as well as the rest of your RAG application. This setup will ensure that your data is stored and processed in Germany. -[//]: # (TODO: add link to Qdrant Hybrid Cloud above) - ![Architecture diagram](/documentation/examples/contract-management-stackit-aleph-alpha/architecture-diagram.png) ## Components diff --git a/qdrant-landing/content/documentation/examples/rag-customer-support-cohere-airbyte-aws.md b/qdrant-landing/content/documentation/examples/rag-customer-support-cohere-airbyte-aws.md index e4bb53571..434509633 100644 --- a/qdrant-landing/content/documentation/examples/rag-customer-support-cohere-airbyte-aws.md +++ b/qdrant-landing/content/documentation/examples/rag-customer-support-cohere-airbyte-aws.md @@ -1,6 +1,7 @@ --- title: Question-Answering System for AI Customer Support weight: 26 +preview_image: /blog/hybrid-cloud-airbyte/hybrid-cloud-airbyte-tutorial.png aliases: - /documentation/tutorials/rag-customer-support-cohere-airbyte-aws/ --- diff --git a/qdrant-landing/content/documentation/examples/recommendation-system-ovhcloud.md b/qdrant-landing/content/documentation/examples/recommendation-system-ovhcloud.md index 17dc70562..27fd7fb42 100644 --- a/qdrant-landing/content/documentation/examples/recommendation-system-ovhcloud.md +++ b/qdrant-landing/content/documentation/examples/recommendation-system-ovhcloud.md @@ -1,6 +1,7 @@ --- title: Movie Recommendation System weight: 34 +preview_image: /blog/hybrid-cloud-ovhcloud/hybrid-cloud-ovhcloud-tutorial.png aliases: - /documentation/tutorials/recommendation-system-ovhcloud/ --- @@ -26,6 +27,13 @@ In this tutorial, you will build a mechanism that recommends movies based on def ![](/documentation/examples/recommendation-system-ovhcloud/architecture-diagram.png) +## Deploying Qdrant Hybrid Cloud on OVHcloud + +[Service Managed Kubernetes](https://www.ovhcloud.com/en-in/public-cloud/kubernetes/), powered by OVH Public Cloud Instances, a leading European cloud provider. With OVHcloud Load Balancers and disks built in. OVHcloud Managed Kubernetes provides high availability, compliance, and CNCF conformance, allowing you to focus on your containerized software layers with total reversibility. + +1. To start using managed Kubernetes on OVHcloud, follow the [platform-specific documentation](/documentation/hybrid-cloud/platform-deployment-options/#ovhcloud). +2. Once your Kubernetes clusters are up, [you can begin deploying Qdrant Hybrid Cloud](/documentation/hybrid-cloud/). + ## Prerequisites Download and unzip the MovieLens dataset: diff --git a/qdrant-landing/content/documentation/hybrid-cloud/hybrid-cloud-setup.md b/qdrant-landing/content/documentation/hybrid-cloud/hybrid-cloud-setup.md index 1f4cd12b3..1f52050b9 100644 --- a/qdrant-landing/content/documentation/hybrid-cloud/hybrid-cloud-setup.md +++ b/qdrant-landing/content/documentation/hybrid-cloud/hybrid-cloud-setup.md @@ -5,7 +5,9 @@ weight: 1 # Creating a Hybrid Cloud Environment -This section list all the requirements needed to setup a Qdrant cluster in your Hybrid Cloud Environment. +The following instruction set will show you how to properly setup a **Qdrant cluster** in your **Hybrid Cloud Environment**. + +To learn how Hybrid Cloud works, [read the overview document](/documentation/hybrid-cloud/). ## Prerequisites diff --git a/qdrant-landing/content/documentation/hybrid-cloud/platform-deployment-options.md b/qdrant-landing/content/documentation/hybrid-cloud/platform-deployment-options.md index da8da511d..9750c1e54 100644 --- a/qdrant-landing/content/documentation/hybrid-cloud/platform-deployment-options.md +++ b/qdrant-landing/content/documentation/hybrid-cloud/platform-deployment-options.md @@ -11,6 +11,8 @@ weight: 4 [The Linode Kubernetes Engine (LKE)](https://www.linode.com/products/kubernetes/) is a managed container orchestration engine built on top of Kubernetes. LKE enables you to quickly deploy and manage your containerized applications without needing to build (and maintain) your own Kubernetes cluster. All LKE instances are equipped with a fully managed control plane at no additional cost. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on LKE**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on Linode Kubernetes Engine - [Getting Started with LKE](https://www.linode.com/docs/products/compute/kubernetes/get-started/) @@ -23,6 +25,8 @@ weight: 4 [Amazon Elastic Kubernetes Service (Amazon EKS)](https://aws.amazon.com/eks/) is a managed service to run Kubernetes in the AWS cloud and on-premises data centers which can then be paired with Qdrant's hybrid cloud. With Amazon EKS, you can take advantage of all the performance, scale, reliability, and availability of AWS infrastructure, as well as integrations with AWS networking and security services. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on AWS**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on Amazon Elastic Kubernetes Service - [Getting Started with Amazon EKS](https://docs.aws.amazon.com/eks/) @@ -35,6 +39,8 @@ weight: 4 [DigitalOcean Kubernetes (DOKS)](https://www.digitalocean.com/products/kubernetes) is a managed Kubernetes service that lets you deploy Kubernetes clusters without the complexities of handling the control plane and containerized infrastructure. Clusters are compatible with standard Kubernetes toolchains and integrate natively with DigitalOcean Load Balancers and volumes. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on DigitalOcean**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on DigitalOcean Kubernetes - [Getting Started with DOKS](https://docs.digitalocean.com/products/kubernetes/getting-started/quickstart/) @@ -47,6 +53,8 @@ weight: 4 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) is a managed Kubernetes service that you can use to deploy and operate containerized applications at scale using Google's infrastructure. GKE provides the operational power of Kubernetes while managing many of the underlying components, such as the control plane and nodes, for you. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on GCP**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on the Google Kubernetes Engine - [Getting Started with GKE](https://cloud.google.com/kubernetes-engine/docs/quickstart) @@ -59,6 +67,8 @@ weight: 4 With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products/kubernetes-service), you can start developing and deploying cloud-native apps in Azure, datacenters, or at the edge. Get unified management and governance for on-premises, edge, and multicloud Kubernetes clusters. Interoperate with Azure security, identity, cost management, and migration services. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on Azure**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on Azure Kubernetes Service - [Getting Started with AKS](https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/containers/aks-start-here) @@ -71,6 +81,8 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products [Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE)](https://www.oracle.com/in/cloud/cloud-native/container-engine-kubernetes/) is a managed Kubernetes solution that enables you to deploy Kubernetes clusters while ensuring stable operations for both the control plane and the worker nodes through automatic scaling, upgrades, and security patching. Additionally, OKE offers a completely serverless Kubernetes experience with virtual nodes. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on OCI**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on OCI Container Engine - [Getting Started with OCI](https://docs.oracle.com/en-us/iaas/Content/ContEng/home.htm) @@ -83,6 +95,8 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products [Service Managed Kubernetes](https://www.ovhcloud.com/en-in/public-cloud/kubernetes/), powered by OVH Public Cloud Instances, a leading European cloud provider. With OVHcloud Load Balancers and disks built in. OVHcloud Managed Kubernetes provides high availability, compliance, and CNCF conformance, allowing you to focus on your containerized software layers with total reversibility. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on OVHcloud**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on Service Managed Kubernetes by OVHcloud - [Getting Started with OVH Managed Kubernetes](https://help.ovhcloud.com/csm/en-in-documentation-public-cloud-containers-orchestration-managed-kubernetes-k8s-getting-started) @@ -95,6 +109,8 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products [Red Hat OpenShift Kubernetes Engine](https://www.redhat.com/en/technologies/cloud-computing/openshift/kubernetes-engine) provides you with the basic functionality of Red Hat OpenShift. It offers a subset of the features that Red Hat OpenShift Container Platform offers, like full access to an enterprise-ready Kubernetes environment and an extensive compatibility test matrix with many of the software elements that you might use in your datacenter. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on Red Hat OpenShift**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on OpenShift Kubernetes Engine - [Getting Started with Red Hat OpenShift Kubernetes](https://docs.openshift.com/container-platform/4.15/getting_started/kubernetes-overview.html) @@ -105,7 +121,9 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products ## Scaleway -[Scaleway Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) and [Kosmos](https://www.scaleway.com/en/kubernetes-kosmos/) are managed Kubernetes services from [Scaleway](https://www.scaleway.com/en/). It abstracts away the complexities of managing and operating a Kubernetes cluster. The primary difference being, Kapsule clusters are composed solely of Scaleway Instances. Whereas, a Kosmos cluster is a managed multi-cloud Kubernetes engine that allows you to connect instances from any cloud provider to a single managed Control-Plane. +[Scaleway Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) and [Kosmos](https://www.scaleway.com/en/kubernetes-kosmos/) are managed Kubernetes services from [Scaleway](https://www.scaleway.com/en/). They abstract away the complexities of managing and operating a Kubernetes cluster. The primary difference being, Kapsule clusters are composed solely of Scaleway Instances. Whereas, a Kosmos cluster is a managed multi-cloud Kubernetes engine that allows you to connect instances from any cloud provider to a single managed Control-Plane. + +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on Scaleway**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). ### More on Scaleway Kubernetes @@ -119,6 +137,8 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products [STACKIT Kubernetes Engine (SKE)](https://www.stackit.de/en/product/kubernetes/) is a robust, scalable, and managed Kubernetes service. SKE supplies a CNCF-compliant Kubernetes cluster, and makes it easy to provide standard Kubernetes applications and containerized workloads. User-defined Kubernetes clusters can be created as self-service without complications using the STACKIT Portal. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on STACKIT**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on STACKIT Kubernetes Engine - [Getting Started with SKE](https://docs.stackit.cloud/stackit/en/getting-started-ske-10125565.html) @@ -131,10 +151,15 @@ With [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-in/products [Vultr Kubernetes Engine (VKE)](https://www.vultr.com/kubernetes/) is a fully-managed product offering with predictable pricing that makes Kubernetes easy to use. Vultr manages the control plane and worker nodes and provides integration with other managed services such as Load Balancers, Block Storage, and DNS. +First, consult your platform's managed Kubernetes instructions below. Then, **to setup Qdrant Hybrid Cloud on Vultr**, follow our [step-by step documentation](/documentation/hybrid-cloud/hybrid-cloud-setup/). + ### More on Vulr Kubernetes Engine - [VKE Guide](https://docs.vultr.com/vultr-kubernetes-engine) - [VKE Documentation](https://docs.vultr.com/) - [Frequently Asked Questions on VKE](https://docs.vultr.com/vultr-kubernetes-engine#frequently-asked-questions) -Once you've got a Kubernetes cluster deployed on a platform of your choosing, you can begin setting up Qdrant hybrid cloud. Head over to our Qdrant Hybrid Cloud [setup guide](/documentation/hybrid-cloud/hybrid-cloud-setup/) for instructions. + +## Next Steps + +Once you've got a Kubernetes cluster deployed on a platform of your choosing, you can begin setting up Qdrant Hybrid Cloud. 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