From 2973c1f1d9ef5ac5dc117d10df90ca8cd308ca49 Mon Sep 17 00:00:00 2001 From: davidmyriel Date: Mon, 15 Apr 2024 19:25:43 -0700 Subject: [PATCH] manuel edits --- .../content/blog/hybrid-cloud-airbyte.md | 2 +- .../content/blog/hybrid-cloud-aleph-alpha.md | 2 +- .../content/blog/hybrid-cloud-cohere.md | 2 +- .../content/blog/hybrid-cloud-digitalocean.md | 18 +++++++++--------- .../content/blog/hybrid-cloud-haystack.md | 2 +- .../content/blog/hybrid-cloud-jinaai.md | 2 +- .../content/blog/hybrid-cloud-langchain.md | 4 ++-- .../blog/hybrid-cloud-launch-partners.md | 8 ++++---- .../content/blog/hybrid-cloud-llamaindex.md | 2 +- ...hybrid-cloud-oracle-cloud-infrastructure.md | 6 +++--- .../content/blog/hybrid-cloud-ovhcloud.md | 6 +++--- .../blog/hybrid-cloud-red-hat-openshift.md | 4 ++-- .../content/blog/hybrid-cloud-scaleway.md | 2 +- .../content/blog/hybrid-cloud-stackit.md | 2 +- .../content/blog/hybrid-cloud-vultr.md | 2 +- qdrant-landing/content/blog/hybrid-cloud.md | 15 +++++++++------ 16 files changed, 41 insertions(+), 38 deletions(-) diff --git a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md index 0b662c1b8..0b4ef4ed9 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md +++ b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -In their mission to support large-scale AI innovation, [Airbyte](https://airbyte.com/) and Qdrant are collaborating on the launch of Qdrant’s new offering - Qdrant Hybrid Cloud. This collaboration allows users to leverage the synergistic capabilities of both Airbyte and Qdrant within a private infrastructure. Qdrant’s new offering represents the first managed vector database that can be deployed in any environment. Businesses optimizing their data infrastructure with Airbyte are now able to host a vector database either on premise, or on a public cloud of their choice - while still reaping the benefits of a managed database product. +In their mission to support large-scale AI innovation, [Airbyte](https://airbyte.com/) and Qdrant are collaborating on the launch of Qdrant’s new offering - [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/). This collaboration allows users to leverage the synergistic capabilities of both Airbyte and Qdrant within a private infrastructure. Qdrant’s new offering represents the first managed vector database that can be deployed in any environment. Businesses optimizing their data infrastructure with Airbyte are now able to host a vector database either on premise, or on a public cloud of their choice - while still reaping the benefits of a managed database product. This is a major step forward in offering enterprise customers incredible synergy for maximizing the potential of their AI data. Qdrant's new Kubernetes-native design, coupled with Airbyte’s powerful data ingestion pipelines meet the needs of developers who are both prototyping and building production-level apps. Airbyte simplifies the process of data integration by providing a platform that connects to various sources and destinations effortlessly. Moreover, Qdrant Hybrid Cloud leverages advanced indexing and search capabilities to empower users to explore and analyze their data efficiently. diff --git a/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md b/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md index 9258f419d..db7b04d54 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md +++ b/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -[Aleph Alpha](https://aleph-alpha.com/) and Qdrant are on a joint mission to empower the world’s best companies in their AI journey. The launch of Qdrant Hybrid Cloud furthers this effort by ensuring complete data sovereignty and hosting security. This latest collaboration is all about giving enterprise customers complete transparency and sovereignty to make use of AI in their own environment. By using a hybrid cloud vector database, those looking to leverage vector search for the AI applications can now ensure their proprietary and customer data is completely secure. +[Aleph Alpha](https://aleph-alpha.com/) and Qdrant are on a joint mission to empower the world’s best companies in their AI journey. The launch of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) furthers this effort by ensuring complete data sovereignty and hosting security. This latest collaboration is all about giving enterprise customers complete transparency and sovereignty to make use of AI in their own environment. By using a hybrid cloud vector database, those looking to leverage vector search for the AI applications can now ensure their proprietary and customer data is completely secure. Aleph Alpha’s state-of-the-art technology, offering unmatched quality and safety, cater perfectly to large-scale business applications and complex scenarios utilized by professionals across fields such as science, law, and security globally. Recognizing that these sophisticated use cases often demand comprehensive data processing capabilities beyond what standalone LLMs can provide, the collaboration between Aleph Alpha and Qdrant Hybrid Cloud introduces a robust platform. This platform empowers customers with full data sovereignty, enabling secure management of highly specific and sensitive information within their own infrastructure. diff --git a/qdrant-landing/content/blog/hybrid-cloud-cohere.md b/qdrant-landing/content/blog/hybrid-cloud-cohere.md index de33f43a2..eea291d13 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-cohere.md +++ b/qdrant-landing/content/blog/hybrid-cloud-cohere.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We’re excited to share that Qdrant and [Cohere](https://cohere.com/) are partnering on the launch of Qdrant Hybrid Cloud to enable global audiences to build and scale their AI applications quickly and securely. With Cohere's world-class large language models (LLMs), getting the most out of vector search becomes incredibly easy. Qdrant's new Hybrid Cloud offering and its Kubernetes-native design can be coupled with Cohere's powerful models and APIs. This combination allows for simple setup when prototyping and deploying AI solutions. +We’re excited to share that Qdrant and [Cohere](https://cohere.com/) are partnering on the launch of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) to enable global audiences to build and scale their AI applications quickly and securely. With Cohere's world-class large language models (LLMs), getting the most out of vector search becomes incredibly easy. Qdrant's new Hybrid Cloud offering and its Kubernetes-native design can be coupled with Cohere's powerful models and APIs. This combination allows for simple setup when prototyping and deploying AI solutions. It’s no secret that Retrieval Augmented Generation (RAG) has shown to be a powerful method of building conversational AI products, such as chatbots or customer support systems. With Cohere's managed LLM service, scientists and developers can tap into state-of-the-art text generation and understanding capabilities, all accessible via API. Qdrant Hybrid Cloud seamlessly integrates with Cohere’s foundation models, enabling convenient data vectorization and highly accurate semantic search. diff --git a/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md b/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md index b20feb294..24c5842ef 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md +++ b/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md @@ -1,6 +1,6 @@ --- draft: false -title: "DigitalOcean and Qdrant Hybrid Cloud for Scalable and Secure AI Solutions" +title: "Qdrant Hybrid Cloud and DigitalOcean for Scalable and Secure AI Solutions" short_description: "Enabling developers to deploy a managed vector database in their DigitalOcean Environment." description: "Enabling developers to deploy a managed vector database in their DigitalOcean Environment." preview_image: /blog/hybrid-cloud-digitalocean/hybrid-cloud-digitalocean.png @@ -13,11 +13,11 @@ tags: - Vector Database --- -In the realm of artificial intelligence (AI), developers are constantly seeking new ways to enhance their applications with new customer experiences. At the core of this are vector databases, as they enable the efficient handling of complex, unstructured data, making it possible to power applications with semantic search, personalized recommendation systems, and intelligent Q&A platforms. However, when deploying such new AI applications, especially those handling sensitive or personal user data, privacy becomes important. +Developers are constantly seeking new ways to enhance their AI applications with new customer experiences. At the core of this are vector databases, as they enable the efficient handling of complex, unstructured data, making it possible to power applications with semantic search, personalized recommendation systems, and intelligent Q&A platforms. However, when deploying such new AI applications, especially those handling sensitive or personal user data, privacy becomes important. -[DigitalOcean](https://www.digitalocean.com/) and Qdrant are actively addressing this with an integration that let’s developers deploy a managed vector database directly in their existing DigitalOcean environments. With the launch of Qdrant Hybrid Cloud developers can seamlessly deploy Qdrant on DigitalOcean Kubernetes (DOKS) clusters, making it easier for developers to handle vector databases without getting bogged down in the complexity of managing the underlying infrastructure. +[DigitalOcean](https://www.digitalocean.com/) and Qdrant are actively addressing this with an integration that lets developers deploy a managed vector database in their existing DigitalOcean environments. With the recent launch of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), developers can seamlessly deploy Qdrant on DigitalOcean Kubernetes (DOKS) clusters, making it easier for developers to handle vector databases without getting bogged down in the complexity of managing the underlying infrastructure. -#### Unlocking the Power of Generative AI for DigitalOcean Customers with Qdrant +#### Unlocking the Power of Generative AI with Qdrant and DigitalOcean User data is a critical asset for a business, and user privacy should always be a top priority. This is why businesses require tools that enable them to leverage their user data as a valuable asset while respecting privacy. Qdrant Hybrid Cloud on DigitalOcean brings these capabilities directly into developers' hands, enhancing deployment flexibility and ensuring greater control over data. @@ -25,19 +25,19 @@ User data is a critical asset for a business, and user privacy should always be #### Get Started with Qdrant on DigitalOcean -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. +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. +- **Own Infrastructure**: Hosting the vector database on your DigitalOcean infrastructure offers flexibility and allows you to manage the entire AI stack in one place. -- **Data Control**: Deploying within the own DigitalOcean environment ensures data control, keeping sensitive information within the own security perimeter. +- **Data Control**: Deploying within the own DigitalOcean environment ensures data control, keeping sensitive information within its 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. +- **Hybrid Cloud Setup**: Begin by logging into your [Qdrant Cloud account](https://cloud.qdrant.io/login) and activate **Hybrid Cloud** feature in the sidebar. -- **Cluster Configuration**: Go to the Hybrid Cloud settings and integrate your DigitalOcean Kubernetes clusters as a Hybrid Cloud Environment. +- **Cluster Configuration**: From Hybrid Cloud settings, integrate your DigitalOcean Kubernetes clusters as a Hybrid Cloud Environment. - **Simplified Deployment**: Use the Qdrant Management Console to effortlessly establish and oversee your Qdrant clusters on DigitalOcean. diff --git a/qdrant-landing/content/blog/hybrid-cloud-haystack.md b/qdrant-landing/content/blog/hybrid-cloud-haystack.md index 8cdb1f4c6..bbf2d2ca1 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-haystack.md +++ b/qdrant-landing/content/blog/hybrid-cloud-haystack.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We’re excited to share that Qdrant and [Haystack](https://haystack.deepset.ai/) are continuing to expand their seamless integration to the new Qdrant Hybrid Cloud offering, allowing developers to deploy a managed vector database in their own environment of choice. Earlier this year, both Qdrant and Haystack, started to address their user’s growing need for production-ready retrieval-augmented-generation (RAG) deployments. The ability to build and deploy AI apps anywhere now allows for complete data sovereignty and control. This gives large enterprise customers the peace of mind they need before they expand AI functionalities throughout their operations. +We’re excited to share that Qdrant and [Haystack](https://haystack.deepset.ai/) are continuing to expand their seamless integration to the new [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) offering, allowing developers to deploy a managed vector database in their own environment of choice. Earlier this year, both Qdrant and Haystack, started to address their user’s growing need for production-ready retrieval-augmented-generation (RAG) deployments. The ability to build and deploy AI apps anywhere now allows for complete data sovereignty and control. This gives large enterprise customers the peace of mind they need before they expand AI functionalities throughout their operations. With a highly customizable framework like Haystack, implementing vector search becomes incredibly simple. Qdrant's new Qdrant Hybrid Cloud offering and its Kubernetes-native design supports customers all the way from a simple prototype setup to a production scenario on any hosting platform. Users can attach AI functionalities to their existing in-house software by creating custom integration components. Don’t forget, both products are open-source and highly modular! diff --git a/qdrant-landing/content/blog/hybrid-cloud-jinaai.md b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md index 0f1effefa..f82528f5e 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-jinaai.md +++ b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We're thrilled to announce the collaboration between Qdrant and [Jina AI](https://jina.ai/) for the launch of Qdrant Hybrid Cloud, empowering users worldwide to rapidly and securely develop and scale their AI applications. By leveraging Jina AI's top-tier large language models (LLMs), engineers and scientists can optimize their vector search efforts. Qdrant's latest Hybrid Cloud solution, designed natively with Kubernetes, seamlessly integrates with Jina AI's robust embedding models and APIs. This synergy streamlines both prototyping and deployment processes for AI solutions. +We're thrilled to announce the collaboration between Qdrant and [Jina AI](https://jina.ai/) for the launch of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), empowering users worldwide to rapidly and securely develop and scale their AI applications. By leveraging Jina AI's top-tier large language models (LLMs), engineers and scientists can optimize their vector search efforts. Qdrant's latest Hybrid Cloud solution, designed natively with Kubernetes, seamlessly integrates with Jina AI's robust embedding models and APIs. This synergy streamlines both prototyping and deployment processes for AI solutions. Retrieval Augmented Generation (RAG) is broadly adopted as the go-to Generative AI solution, as it enables powerful and cost-effective chatbots, customer support agents and other forms of semantic search applications. Through Jina AI's managed service, users gain access to cutting-edge text generation and comprehension capabilities, conveniently accessible through an API. Qdrant Hybrid Cloud effortlessly incorporates Jina AI's embedding models, facilitating smooth data vectorization and delivering exceptionally precise semantic search functionality. diff --git a/qdrant-landing/content/blog/hybrid-cloud-langchain.md b/qdrant-landing/content/blog/hybrid-cloud-langchain.md index 07d6ad28e..8f414213e 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-langchain.md +++ b/qdrant-landing/content/blog/hybrid-cloud-langchain.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -[LangChain](https://www.langchain.com/) and Qdrant are collaborating on the launch of Qdrant Hybrid Cloud, which is designed to empower engineers and scientists globally to easily and securely develop and scale their GenAI applications. Harnessing LangChain’s robust framework, users can unlock the full potential of vector search, enabling the creation of stable and effective AI products. Qdrant Hybrid Cloud extends the same powerful functionality of Qdrant onto a Kubernetes-based architecture, enhancing LangChain’s capability to cater to users across any environment. +[LangChain](https://www.langchain.com/) and Qdrant are collaborating on the launch of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), which is designed to empower engineers and scientists globally to easily and securely develop and scale their GenAI applications. Harnessing LangChain’s robust framework, users can unlock the full potential of vector search, enabling the creation of stable and effective AI products. Qdrant Hybrid Cloud extends the same powerful functionality of Qdrant onto a Kubernetes-based architecture, enhancing LangChain’s capability to cater to users across any environment. Qdrant Hybrid Cloud provides users with the flexibility to deploy their vector database in a preferred environment. Through container-based scalable deployments, companies can leverage cutting-edge frameworks like LangChain while maintaining compatibility with their existing hosting architecture for data sources, embedded models, and LLMs. This potent combination empowers organizations to develop robust and secure applications capable of text-based search, complex question-answering, recommendations and analysis. @@ -39,7 +39,7 @@ To get you started, we’ve put together a tutorial that shows how to create nex #### Tutorial: Build a RAG System for Employee Onboarding -We created a comprehensive tutorial to show how you can build a RAG-based system with Qdrant Hybrid Cloud, LangChain and Cohere’s embeddings. This use case is focused on building a question-answering system for employee onboarding. The step-by-step guide illustrates how to route incoming customer questions efficiently - either trying to answer them directly or redirecting them for human intervention while keeping the sensitive data within your premises. +We created a comprehensive tutorial to show how you can build a RAG-based system with Qdrant Hybrid Cloud, LangChain and Cohere’s embeddings. This use case is focused on building a question-answering system for internal corporate employee onboarding. [Try the Tutorial](/documentation/tutorials/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/) diff --git a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md index 99d93f3ed..0c5b1b611 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md +++ b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md @@ -28,7 +28,7 @@ We are excited to have trusted industry players support the launch of Qdrant Hyb ![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: +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. These tutorials demonstrate that Qdrant Hybrid Cloud is 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, Airbyte, Cohere, and AWS @@ -44,7 +44,7 @@ Together with our launch partners, we created in-depth tutorials and use cases f **Hybrid Search for Product PDF Manuals** with Qdrant Hybrid Cloud, LlamaIndex, and JinaAI -> Create a RAG-based chatbot that enhances customer support by parsing product PDF manuals using Qdrant Hybrid Cloud, LlamaIndex, and JinaAI. This tutorial will guide you through the setup and integration process, enabling your system to deliver precise, context-aware responses for household appliance inquiries. +> Create a RAG-based chatbot that enhances customer support by parsing product PDF manuals using Qdrant Hybrid Cloud, LlamaIndex, and JinaAI, with DigitalOcean as the cloud host. This tutorial will guide you through the setup and integration process, enabling your system to deliver precise, context-aware responses for household appliance inquiries. [View Tutorial](/documentation/tutorials/hybrid-search-llamaindex-jinaai/) @@ -74,7 +74,7 @@ Together with our launch partners, we created in-depth tutorials and use cases f **Private Chatbot for Interactive Learning** with Qdrant Hybrid Cloud and Red Hat OpenShift using Haystack. -> In this tutorial, you will combine open source tools inside of a closed infrastructure and tie them together with a reliable framework. This custom solution lets you run a chatbot without public internet access. You will be able to keep sensitive data secure without compromising privacy. +> In this tutorial, you will build a chatbot without public internet access. The goal is to keep sensitive data secure and isolated. Your RAG system will be built 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. [View Tutorial](/documentation/tutorials/rag-chatbot-red-hat-openshift-haystack/) @@ -91,7 +91,7 @@ Additionally, we built comprehensive documentation tutorials on how to successfu - [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 Red Hat OpenShift](/documentation/hybrid-cloud/platform-deployment-options/#red-hat-openshift) - [How to Deploy Qdrant on Linode](/documentation/hybrid-cloud/platform-deployment-options/#akamai-linode) - [How to Deploy Qdrant on Civo](/documentation/hybrid-cloud/platform-deployment-options/#civo) diff --git a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md index c01275918..916e6276f 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md +++ b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We're happy to announce the collaboration between [LlamaIndex](https://www.llamaindex.ai/) and Qdrant’s new Hybrid Cloud launch, aimed at empowering engineers and scientists worldwide to swiftly and securely develop and scale their GenAI applications. By leveraging LlamaIndex's robust framework, users can maximize the potential of vector search and create stable and effective AI products. Qdrant Hybrid Cloud offers the same Qdrant functionality on a Kubernetes-based architecture, which further expands the ability of LlamaIndex to support any user on any environment. +We're happy to announce the collaboration between [LlamaIndex](https://www.llamaindex.ai/) and [Qdrant’s new Hybrid Cloud launch](https://hybrid-cloud.qdrant.tech/), aimed at empowering engineers and scientists worldwide to swiftly and securely develop and scale their GenAI applications. By leveraging LlamaIndex's robust framework, users can maximize the potential of vector search and create stable and effective AI products. Qdrant Hybrid Cloud offers the same Qdrant functionality on a Kubernetes-based architecture, which further expands the ability of LlamaIndex to support any user on any environment. With Qdrant Hybrid Cloud, users have the flexibility to deploy their vector database in an environment of their choice. By using container-based scalable deployments, companies can leverage a cutting-edge framework like LlamaIndex, while staying deployed in the same hosting architecture as data sources, embedding models and LLMs. This powerful combination empowers organizations to build strong and secure applications that search, understand meaning and converse in text. 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 cb627761e..8c55183c0 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md +++ b/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -Qdrant and [Oracle Cloud Infrastructure (OCI) Cloud Engineering](https://www.oracle.com/cloud/) are thrilled to announce the ability to deploy Qdrant Hybrid Cloud as a managed service on OCI. This marks the next step in the collaboration between Qdrant and Oracle Cloud Infrastructure, which will enable enterprises to realize the benefits of artificial intelligence powered through scalable vector search. In 2023, OCI added Qdrant to its [Oracle Cloud Infrastructure solution portfolio](https://blogs.oracle.com/cloud-infrastructure/post/vecto-database-qdrant-support-oci-kubernetes). Qdrant Hybrid Cloud is the managed service of the Qdrant vector search engine that can be deployed and run in any existing OCI environment, allowing enterprises to run fully managed vector search workloads in their existing infrastructure. This is a milestone for leveraging a managed vector search engine for data-sensitive AI applications. +Qdrant and [Oracle Cloud Infrastructure (OCI) Cloud Engineering](https://www.oracle.com/cloud/) are thrilled to announce the ability to deploy [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) as a managed service on OCI. This marks the next step in the collaboration between Qdrant and Oracle Cloud Infrastructure, which will enable enterprises to realize the benefits of artificial intelligence powered through scalable vector search. In 2023, OCI added Qdrant to its [Oracle Cloud Infrastructure solution portfolio](https://blogs.oracle.com/cloud-infrastructure/post/vecto-database-qdrant-support-oci-kubernetes). Qdrant Hybrid Cloud is the managed service of the Qdrant vector search engine that can be deployed and run in any existing OCI environment, allowing enterprises to run fully managed vector search workloads in their existing infrastructure. This is a milestone for leveraging a managed vector search engine for data-sensitive AI applications. 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. @@ -35,13 +35,13 @@ Deploying Qdrant Hybrid Cloud on OCI facilitates vector search in production env ![hybrid-cloud-oracle-cloud-infrastructure-tutorial](/blog/hybrid-cloud-oracle-cloud-infrastructure/hybrid-cloud-oracle-cloud-infrastructure-tutorial.png) -We created a comprehensive tutorial to show how to leverage the benefits of Qdrant Hybrid Cloud on OCI and build AI applications with a focus on data sovereignty. This use case is focused on building a RAG system for FAQ, leveraging the strengths of **Qdrant Hybrid Cloud**, [Oracle](https://www.linkedin.com/company/oracle/) Cloud Infrastructure (OCI), [Cohere](https://www.linkedin.com/company/cohere-ai/) models, and [Langchain](https://www.langchain.com/). This step-by-step guide illustrates how to route incoming customer questions efficiently - either trying to answer them directly or redirecting them for human intervention while keeping the sensitive data within your premises. +We created a comprehensive tutorial to show how to leverage the benefits of Qdrant Hybrid Cloud on OCI and build AI applications with a focus on data sovereignty. This use case is focused on building a RAG system for FAQ, leveraging the strengths of Qdrant Hybrid Cloud for vector search, Oracle Cloud Infrastructure (OCI) as a managed Kubernetes provider, Cohere models for embedding, and LangChain as a framework. [Try the Tutorial](/documentation/tutorials/natural-language-search-oracle-cloud-infrastructure-cohere-langchain/) 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’. +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 Hybrid Cloud Environment. diff --git a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md index 65c3b144b..d6b108e8d 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md @@ -13,11 +13,11 @@ tags: - Vector Database --- -With the official release of Qdrant Hybrid Cloud, businesses running their data infrastructure on [OVHcloud](https://ovhcloud.com/) are now able to deploy a fully managed vector database in their existing OVHcloud environment. We are excited about this partnership, which has been established through the [OVHcloud Open Trusted Cloud](https://opentrustedcloud.ovhcloud.com/en/) program, as it is based on our shared understanding of the importance of trust, control, and data privacy in the context of the emerging landscape of enterprise-grade AI applications. As part of this collaboration, we are also providing a detailed use case tutorial on building a recommendation system with ‘collaborative filtering using sparse vectors’ that demonstrates the benefits of running Qdrant Hybrid Cloud on OVHcloud. +With the official release of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), businesses running their data infrastructure on [OVHcloud](https://ovhcloud.com/) are now able to deploy a fully managed vector database in their existing OVHcloud environment. We are excited about this partnership, which has been established through the [OVHcloud Open Trusted Cloud](https://opentrustedcloud.ovhcloud.com/en/) program, as it is based on our shared understanding of the importance of trust, control, and data privacy in the context of the emerging landscape of enterprise-grade AI applications. As part of this collaboration, we are also providing a detailed use case tutorial on building a recommendation system that demonstrates the benefits of running Qdrant Hybrid Cloud on OVHcloud. -Deploying Qdrant Hybrid Cloud on OVHcloud's infrastructure represents a significant leap for European businesses invested in AI-driven projects, as this collaboration underscores the commitment to meeting the rigorous requirements for data privacy and control of European startups and enterprises building AI solutions. As businesses are progressing on their AI journey, they require dedicated solutions that allow them to make their data accessible for machine learning and AI projects, without having it leave the company's security perimeter. Prioritizing data sovereignty, a crucial aspect in today's digital landscape, will help startups and enterprises accelerate their AI agenda’s and build even more differentiating AI-enabled applications. The ability of running Qdrant Hybrid Cloud on OVHcloud not only underscores the commitment to innovative, secure AI solutions but also ensures that companies can navigate the complexities of AI and machine learning workloads with the flexibility and security required. +Deploying Qdrant Hybrid Cloud on OVHcloud's infrastructure represents a significant leap for European businesses invested in AI-driven projects, as this collaboration underscores the commitment to meeting the rigorous requirements for data privacy and control of European startups and enterprises building AI solutions. As businesses are progressing on their AI journey, they require dedicated solutions that allow them to make their data accessible for machine learning and AI projects, without having it leave the company's security perimeter. Prioritizing data sovereignty, a crucial aspect in today's digital landscape, will help startups and enterprises accelerate their AI agendas and build even more differentiating AI-enabled applications. The ability of running Qdrant Hybrid Cloud on OVHcloud not only underscores the commitment to innovative, secure AI solutions but also ensures that companies can navigate the complexities of AI and machine learning workloads with the flexibility and security required. -> *“In the European AI landscape, the partnership between OVHcloud and Qdrant Hybrid Cloud underscores our commitment to innovative, secure AI solutions, empowering startups and enterprises to navigate AI complexities confidently. By emphasizing data sovereignty and security, we enable businesses to leverage vector databases securely."* Yaniv Fdida, Chief Product and Technology Officer +> *“In the European AI landscape, the partnership between OVHcloud and Qdrant Hybrid Cloud underscores our commitment to innovative, secure AI solutions, empowering startups and enterprises to navigate AI complexities confidently. By emphasizing data sovereignty and security, we enable businesses to leverage vector databases securely."* Yaniv Fdida, Chief Product and Technology Officer, OVHcloud #### Qdrant & OVHcloud: High Performance Vector Search With Full Data Control 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 6b8fb48fe..a9e1d91d2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md +++ b/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We’re excited about our collaboration with Red Hat to bring the Qdrant vector database to [Red Hat OpenShift](https://www.redhat.com/en/technologies/cloud-computing/openshift) customers! With the release of Qdrant Hybrid Cloud, developers can now deploy and run the Qdrant vector database directly in their Red Hat OpenShift environment. This collaboration enables developers to scale more seamlessly, operate more consistently across hybrid cloud environments, and maintain complete control over their vector data. This is a big step forward in simplifying AI infrastructure and empowering data-driven projects, like retrieval augmented generation (RAG) use cases, advanced search scenarios, or recommendations systems. +We’re excited about our collaboration with Red Hat to bring the Qdrant vector database to [Red Hat OpenShift](https://www.redhat.com/en/technologies/cloud-computing/openshift) customers! With the release of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), developers can now deploy and run the Qdrant vector database directly in their Red Hat OpenShift environment. This collaboration enables developers to scale more seamlessly, operate more consistently across hybrid cloud environments, and maintain complete control over their vector data. This is a big step forward in simplifying AI infrastructure and empowering data-driven projects, like retrieval augmented generation (RAG) use cases, advanced search scenarios, or recommendations systems. 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. @@ -50,7 +50,7 @@ To get started, we created a comprehensive tutorial that shows how to build next #### 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. +In this tutorial, you will build a chatbot without public internet access. The goal is to keep sensitive data secure and isolated. Your RAG system will be built 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/) diff --git a/qdrant-landing/content/blog/hybrid-cloud-scaleway.md b/qdrant-landing/content/blog/hybrid-cloud-scaleway.md index 38574d02a..6087bd15b 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-scaleway.md +++ b/qdrant-landing/content/blog/hybrid-cloud-scaleway.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -In a move to empower the next wave of AI innovation, Qdrant and [Scaleway](https://www.scaleway.com/en/) collaborate to introduce Qdrant Hybrid Cloud, a fully managed vector database that can be deployed on existing Scaleway environments. This collaboration is set to democratize access to advanced AI capabilities, enabling developers to easily deploy and scale vector search technologies within Scaleway's robust and developer-friendly cloud infrastructure. By focusing on the unique needs of startups and the developer community, Qdrant and Scaleway are providing access to intuitive and easy to use tools, making cutting-edge AI more accessible than ever before. +In a move to empower the next wave of AI innovation, Qdrant and [Scaleway](https://www.scaleway.com/en/) collaborate to introduce [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/), a fully managed vector database that can be deployed on existing Scaleway environments. This collaboration is set to democratize access to advanced AI capabilities, enabling developers to easily deploy and scale vector search technologies within Scaleway's robust and developer-friendly cloud infrastructure. By focusing on the unique needs of startups and the developer community, Qdrant and Scaleway are providing access to intuitive and easy to use tools, making cutting-edge AI more accessible than ever before. Building on this vision, the integration between Scaleway and Qdrant Hybrid Cloud leverages the strengths of both Qdrant, with its leading open-source vector database, and Scaleway, known for its innovative and scalable cloud solutions. This integration means startups and developers can now harness the power of vector search - essential for AI applications like recommendation systems, image recognition, and natural language processing - within their existing environment without the complexity of maintaining such advanced setups. diff --git a/qdrant-landing/content/blog/hybrid-cloud-stackit.md b/qdrant-landing/content/blog/hybrid-cloud-stackit.md index 4c2b2fceb..c7984feaf 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-stackit.md +++ b/qdrant-landing/content/blog/hybrid-cloud-stackit.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -Qdrant and [STACKIT](https://www.stackit.de/en/) are thrilled to announce that developers are now able to deploy a fully managed vector database to their STACKIT environment with the introduction of Qdrant Hybrid Cloud. This is a great step forward for the German AI ecosystem as it enables developers and businesses to build cutting edge AI applications that run on German data centers with full control over their data. +Qdrant and [STACKIT](https://www.stackit.de/en/) are thrilled to announce that developers are now able to deploy a fully managed vector database to their STACKIT environment with the introduction of [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/). This is a great step forward for the German AI ecosystem as it enables developers and businesses to build cutting edge AI applications that run on German data centers with full control over their data. Vector databases are an essential component of the modern AI stack. They enable rapid and accurate retrieval of high-dimensional data, crucial for powering search, recommendation systems, and augmenting machine learning models. In the rising field of GenAI, vector databases power retrieval-augmented-generation (RAG) scenarios as they are able to enhance the output of large language models (LLMs) by injecting relevant contextual information. However, this contextual information is often rooted in confidential internal or customer-related information, which is why enterprises are in pursuit of solutions that allow them to make this data available for their AI applications without compromising data privacy, losing data control, or letting data exit the company's secure environment. diff --git a/qdrant-landing/content/blog/hybrid-cloud-vultr.md b/qdrant-landing/content/blog/hybrid-cloud-vultr.md index 8a89839ce..73f91a768 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-vultr.md +++ b/qdrant-landing/content/blog/hybrid-cloud-vultr.md @@ -13,7 +13,7 @@ tags: - Vector Database --- -We’re excited to share that Qdrant and [Vultr](https://www.vultr.com/) are partnering to provide seamless scalability and performance for vector search workloads. With Vultr's global footprint and customizable platform, deploying vector search workloads becomes incredibly flexible. Qdrant's new Qdrant Hybrid Cloud offering and its Kubernetes-native design, coupled with Vultr's straightforward virtual machine provisioning, allows for simple setup when prototyping and building next-gen AI apps. +We’re excited to share that Qdrant and [Vultr](https://www.vultr.com/) are partnering to provide seamless scalability and performance for vector search workloads. With Vultr's global footprint and customizable platform, deploying vector search workloads becomes incredibly flexible. Qdrant's new [Qdrant Hybrid Cloud](https://hybrid-cloud.qdrant.tech/) offering and its Kubernetes-native design, coupled with Vultr's straightforward virtual machine provisioning, allows for simple setup when prototyping and building next-gen AI apps. #### Adapting to Diverse AI Development Needs with Customization and Deployment Flexibility diff --git a/qdrant-landing/content/blog/hybrid-cloud.md b/qdrant-landing/content/blog/hybrid-cloud.md index 37cbefc4b..6b43f0724 100644 --- a/qdrant-landing/content/blog/hybrid-cloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud.md @@ -85,6 +85,8 @@ We launched Qdrant Hybrid Cloud with assistance and support of our trusted partn #### 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 +Read more in [OCI's latest Partner Blog](https://blogs.oracle.com/cloud-infrastructure/post/qdrant-hybrid-cloud-now-available-oci-customers). + #### 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. @@ -95,6 +97,11 @@ Read more in our [official Red Hat Partner Blog](/blog/hybrid-cloud-red-hat-open Read more in our [official Vultr Partner Blog](/blog/hybrid-cloud-vultr/). +#### OVHcloud: +> *“In the European AI landscape, the partnership between OVHcloud and Qdrant Hybrid Cloud underscores our commitment to innovative, secure AI solutions, empowering startups and enterprises to navigate AI complexities confidently. By emphasizing data sovereignty and security, we enable businesses to leverage vector databases securely."* Yaniv Fdida, Chief Product and Technology Officer, OVHcloud + +Read more in our [official OVHcloud Partner Blog](/blog/hybrid-cloud-ovhcloud/). + #### 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. @@ -130,12 +137,8 @@ Read more in our [official LangChain Partner Blog](/blog/hybrid-cloud-langchain/ Read more in our [official Jina AI Partner Blog](/blog/hybrid-cloud-jinaai/). -#### OVHcloud: -> *“In the European AI landscape, the partnership between OVHcloud and Qdrant Hybrid Cloud underscores our commitment to innovative, secure AI solutions, empowering startups and enterprises to navigate AI complexities confidently. By emphasizing data sovereignty and security, we enable businesses to leverage vector databases securely."* Yaniv Fdida, Chief Product and Technology Officer - -Read more in our [official OVHcloud Partner Blog](/blog/hybrid-cloud-ovhcloud/). - -We have also launched Qdrant Hybrid Cloud with the support of **Aleph Alpha** and **STACKIT**. Learn more about our valued partners: +We have also launched Qdrant Hybrid Cloud with the support of **Aleph Alpha**, **STACKIT** and **Civo**. Learn more about our valued partners: - **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/) +- **Civo:** [Deploy Qdrant Hybrid Cloud on Civo Kubernetes](/documentation/hybrid-cloud/platform-deployment-options/#civo) \ No newline at end of file