diff --git a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md index 13ee756da..0373d8ac8 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md +++ b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md @@ -12,15 +12,13 @@ tags: - Vector Database --- -**Elevate Your Data Performance With Airbyte and Qdrant Hybrid Cloud** - In their mission to support large-scale AI innovation, Airbyte 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. 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. 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. -**Optimizing Your GenAI Data Stack With Airbyte and Qdrant Hybrid Cloud** +#### 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: @@ -32,22 +30,24 @@ By integrating Airbyte with Qdrant Hybrid Cloud, you can achieve seamless data i **Open-Source Compatibility:** Airbyte and Qdrant pride themselves on maintaining a reliable and mature integration that brings peace of mind to those prototyping and deploying large-scale AI solutions. Extensive open-source documentation and code samples help users of all skill levels in leveraging highly advanced features of data ingestion and vector search. -**Build a Modern GenAI Application With Qdrant Hybrid Cloud and Airbyte** +#### Build a Modern GenAI Application With Qdrant Hybrid Cloud and Airbyte ![hybrid-cloud-airbyte-tutorial](/blog/hybrid-cloud-airbyte/hybrid-cloud-airbyte-tutorial.png) We put together an end-to-end tutorial to show you how to build a GenAI application with Qdrant Hybrid Cloud and Airbyte’s advanced data pipelines. -**Tutorial: Build a RAG System to Answer Customer Support Queries** +#### Tutorial: Build a RAG System to Answer Customer Support Queries Learn how to set up a private AI service that addresses customer support issues with high accuracy and effectiveness. By leveraging Airbyte’s data pipelines with Qdrant Hybrid Cloud, you will create a customer support system that is always synchronized with up-to-date knowledge. [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/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 693caf566..43b4aa7f9 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md +++ b/qdrant-landing/content/blog/hybrid-cloud-aleph-alpha.md @@ -1,8 +1,8 @@ --- draft: false -title: "Aleph Alpha and Qdrant Hybrid Cloud" -short_description: "A winning combination for enterprise-scale RAG consists of a strong framework and a scalable database." -description: "A winning combination for enterprise-scale RAG consists of a strong framework and a scalable database." +title: "Enhance AI Data Sovereignty with Aleph Alpha and Qdrant Hybrid Cloud" +short_description: "Empowering the world’s best companies in their AI journey." +description: "Empowering the world’s best companies in their AI journey." preview_image: /blog/hybrid-cloud-aleph-alpha/hybrid-cloud-aleph-alpha.png date: 2024-04-11T00:01:00Z author: Qdrant @@ -12,44 +12,40 @@ tags: - Vector Database --- -**Enhance AI Data Sovereignty with Aleph Alpha and Qdrant Hybrid Cloud** - Aleph Alpha 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’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. Together with Aleph Alpha, Qdrant Hybrid Cloud offers an ecosystem where individual components seamlessly integrate with one another. Qdrant's new Kubernetes-native design coupled with Aleph Alpha's powerful technology meet the needs of developers who are both prototyping and building production-level apps. -// Insert quote from Aleph Alpha - -**How Aleph Alpha and Qdrant Blend Data Control, Scalability, and European Standards** +#### How Aleph Alpha and Qdrant Blend Data Control, Scalability, and European Standards Building apps with Qdrant Hybrid Cloud and Aleph Alpha’s models leverages some common value propositions: -**Data Sovereignty:** Qdrant Hybrid Cloud is the first vector database that can be deployed anywhere, with complete database isolation, while still providing fully managed cluster management. - -Furthermore, as the best option for organizations that prioritize data sovereignty, Aleph Alpha offers foundation models which are aimed at serving regional use cases. Together, both products can be leveraged to keep highly specific data safe and isolated. +**Data Sovereignty:** Qdrant Hybrid Cloud is the first vector database that can be deployed anywhere, with complete database isolation, while still providing fully managed cluster management. Furthermore, as the best option for organizations that prioritize data sovereignty, Aleph Alpha offers foundation models which are aimed at serving regional use cases. Together, both products can be leveraged to keep highly specific data safe and isolated. **Scalable Vector Search:** Once deployed to a customer’s host of choice, Qdrant Hybrid Cloud provides a fully managed vector database that lets users effortlessly scale the setup through vertical or horizontal scaling. Deployed in highly secure environments, this is a robust setup that is designed to meet the needs of large enterprises, ensuring a full spectrum of solutions for various projects and workloads. **European Origins & Expertise**: With a strong presence in the European Union ecosystem, Aleph Alpha is ideally positioned to partner with European-based companies like Qdrant, providing local expertise and infrastructure that aligns with European regulatory standards. -**Build a Data-Sovereign AI System With Qdrant Hybrid Cloud and Aleph Alpha’s Models** +#### Build a Data-Sovereign AI System With Qdrant Hybrid Cloud and Aleph Alpha’s Models -![Aleph%20Alpha%20and%20Qdrant%20Hybrid%20Cloud%200d5312f1a4034f1a9d6063c2251fc264/image1.png](Aleph%20Alpha%20and%20Qdrant%20Hybrid%20Cloud%200d5312f1a4034f1a9d6063c2251fc264/image1.png) +![hybrid-cloud-aleph-alpha-tutorial](/blog/hybrid-cloud-aleph-alpha/hybrid-cloud-aleph-alpha-tutorial.png) To get you started, we created a comprehensive tutorial that shows how to build next-gen AI applications with Qdrant Hybrid Cloud and Aleph Alpha’s advanced models. -**Tutorial: Build a Region-Specific Contract Management System** +#### Tutorial: Build a Region-Specific Contract Management System Learn how to develop an AI system that reads lengthy contracts and gives complex answers based on stored content. This system is completely hosted inside of Germany for GDPR compliance purposes. The tutorial shows how enterprises with a vast number of stored contract documents can leverage AI in a closed environment that doesn’t leave the hosting region, thus ensuring data sovereignty and security. -**> Try the Tutorial** +[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/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 01c679405..437ea1cda 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-cohere.md +++ b/qdrant-landing/content/blog/hybrid-cloud-cohere.md @@ -12,15 +12,13 @@ tags: - Vector Database --- -**Qdrant Hybrid Cloud and Cohere Collaborate to Support Enterprise GenAI Solutions** - We’re excited to share that Qdrant and Cohere 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. 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. 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, global businesses can keep both products deployed in the same hosting architecture. By combining Cohere’s foundation models with Qdrant’s vector search capabilities, developers can create robust and scalable GenAI applications tailored to meet the demands of modern enterprises. This powerful combination empowers organizations to build strong and secure applications that search, understand meaning and converse in text. -**Take Full Control of Your GenAI Application with Qdrant Hybrid Cloud and Cohere** +#### Take Full Control of Your GenAI Application with Qdrant Hybrid Cloud and Cohere Building apps with Qdrant Hybrid Cloud and Cohere’s models comes with several key advantages: @@ -30,22 +28,24 @@ Building apps with Qdrant Hybrid Cloud and Cohere’s models comes with several **Cost Efficiency:** By leveraging Qdrant's quantization for efficient data handling and pairing it with Cohere's scalable and affordable pricing structure, the price/performance ratio of this integration is next to none. Companies who are just getting started with both will have a minimal upfront investment and optimal cost management going forward. -**Start Building Your New App With Cohere and Qdrant Hybrid Cloud** +#### Start Building Your New App With Cohere and Qdrant Hybrid Cloud ![hybrid-cloud-cohere-tutorial](/blog/hybrid-cloud-cohere/hybrid-cloud-cohere-tutorial.png) We put together an end-to-end tutorial to show you how to build a GenAI application with Qdrant Hybrid Cloud and Cohere’s embeddings. -**Tutorial: Build a RAG System to Answer Customer Support Queries** +#### Tutorial: Build a RAG System to Answer Customer Support Queries Learn how to set up a private AI service that addresses customer support issues with high accuracy and effectiveness. By leveraging Cohere’s models with Qdrant Hybrid Cloud, you will create a fully private customer support system. [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/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 3e71a2da3..0a344e7cc 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md +++ b/qdrant-landing/content/blog/hybrid-cloud-digitalocean.md @@ -1,8 +1,8 @@ --- draft: false -title: "DigitalOcean and Qdrant Hybrid Cloud" -short_description: "A winning combination for enterprise-scale RAG consists of a strong framework and a scalable database." -description: "A winning combination for enterprise-scale RAG consists of a strong framework and a scalable database." +title: "DigitalOcean and Qdrant Hybrid Cloud 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 date: 2024-04-11T00:02:00Z author: Qdrant @@ -12,19 +12,17 @@ tags: - Vector Database --- -**Qdrant Hybrid Cloud Enables Developers to Deploy a Managed Vector Database in Their DigitalOcean Environment** - 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. DigitalOcean 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. -**Unlocking the Power of Generative AI for DigitalOcean Customers with Qdrant** +#### Unlocking the Power of Generative AI for DigitalOcean Customers with Qdrant 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. -“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. +> *“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. -## **Get Started with Qdrant on DigitalOcean** +#### 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. @@ -34,10 +32,14 @@ DigitalOcean customers can easily deploy Qdrant on their DigitalOcean Kubernetes To get Qdrant Hybrid Cloud setup on DigitalOcean, just follow these steps: -- **Hybrid Cloud Setup**: Begin by logging into your Qdrant Cloud account and enable the 'Hybrid Cloud' feature. +- **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/) \ No newline at end of file +[Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) + +#### 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 28f375930..3f596a1f8 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-haystack.md +++ b/qdrant-landing/content/blog/hybrid-cloud-haystack.md @@ -12,17 +12,15 @@ tags: - Vector Database --- -**Qdrant Hybrid Cloud and Haystack by deepset: A Winning Combination for Enterprise-Scale RAG** - We’re excited to share that Qdrant and Haystack 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. 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! With Haystack and Qdrant Hybrid Cloud, the path to production has never been clearer. The elaborate integration of Qdrant as a Document Store simplifies the deployment of Haystack-based AI applications in any production-grade environment. Coupled with Qdrant’s Hybrid Cloud offering, your application can be deployed anyplace, on your own terms. -“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. +>*“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. -**Simplifying RAG Deployment: Qdrant Hybrid Cloud and Haystack 2.0 Integration** +#### Simplifying RAG Deployment: Qdrant Hybrid Cloud and Haystack 2.0 Integration Building apps with Qdrant Hybrid Cloud and deepset’s framework has become even simpler with Haystack 2.0. Both products are completely optimized for RAG in production scenarios. Here are some key advantages: @@ -32,22 +30,24 @@ 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 deepset** +#### 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) To get you started, we created a comprehensive tutorial that shows how to build next-gen AI applications with Qdrant Hybrid Cloud using deepset’s Haystack framework. -**Tutorial: Private Chatbot for Interactive Learning** +#### Tutorial: Private Chatbot for Interactive Learning Learn how to develop a tutor chatbot from online course materials. You will create a Retrieval Augmented Generation (RAG) pipeline with Haystack for enhanced generative AI capabilities and Qdrant Hybrid Cloud for vector search. By deploying every tool on RedHat OpenShift, you will ensure complete privacy and data sovereignty, whereby no course content leaves your cloud. [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. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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-jinaai.md b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md index 5aead363d..8d0193614 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-jinaai.md +++ b/qdrant-landing/content/blog/hybrid-cloud-jinaai.md @@ -12,15 +12,13 @@ tags: - Vector Database --- -**Develop Cutting-Edge GenAI Apps with Jina AI and Qdrant Hybrid Cloud** - We're thrilled to announce the collaboration between Qdrant and 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. 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. 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, global businesses can keep both products deployed in the same hosting architecture. By combining Jina AI’s models with Qdrant’s vector search capabilities, developers can create robust and scalable applications tailored to meet the demands of modern enterprises. This combination allows organizations to build strong and secure Generative AI solutions. -**Benefits of Qdrant’s Vector Search With Jina AI Embeddings in Enterprise RAG Scenarios** +#### Benefits of Qdrant’s Vector Search With Jina AI Embeddings in Enterprise RAG Scenarios Building apps with Qdrant Hybrid Cloud and Jina AI’s embeddings comes with several key advantages: @@ -30,22 +28,24 @@ Building apps with Qdrant Hybrid Cloud and Jina AI’s embeddings comes with sev **Cost Efficiency:** By leveraging Jina AI's scalable and affordable pricing structure and pairing it with Qdrant's quantization for efficient data handling, this integration offers great value for its cost. Companies who are just getting started with both will have a minimal upfront investment and optimal cost management going forward. -**Start Building Gen AI Apps With Jina AI and Qdrant Hybrid Cloud** +#### Start Building Gen AI Apps With Jina AI and Qdrant Hybrid Cloud ![hybrid-cloud-jinaai-tutorial](/blog/hybrid-cloud-jinaai/hybrid-cloud-jinaai-tutorial.png) To get you started, we created a comprehensive tutorial that shows how to build a modern GenAI application with Qdrant Hybrid Cloud and Jina AI embeddings. -**Tutorial: Hybrid Search for Household Appliance Manuals** +#### Tutorial: Hybrid Search for Household Appliance Manuals Learn how to build an app that retrieves information from PDF user manuals to enhance user experience for companies that sell household appliances. The system will leverage Jina AI embeddings and Qdrant Hybrid Cloud for enhanced generative AI capabilities, while the RAG pipeline will be tied together using the LlamaIndex framework. This example demonstrates how complex tables in PDF documentation can be processed as high quality embeddings with no extra configuration. By introducing Hybrid Search from Qdrant, the RAG functionality is highly accurate. -[Try the Tutorial](/documentation/tutorials/hybrid-search-llamaindex-jinaai/ +[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/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 d27729ca3..f8c71c314 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md +++ b/qdrant-landing/content/blog/hybrid-cloud-launch-partners.md @@ -14,8 +14,6 @@ tags: - launch partners --- -**Qdrant Hybrid Cloud Vector Database, Together With Its Wide Range of Launch Partners, Offers Developers Unmatched Flexibility for Creating Production-Ready AI Applications** - With the launch of Qdrant Hybrid Cloud we provide developers the ability to deploy Qdrant as a managed vector database in any desired environment, be it in the cloud, on premise, or on the edge. We are convinced that Qdrant Hybrid Cloud marks a significant advancement in vector databases, offering the most flexible way to implement vector search. We’re excited to learn more about what you will be building with it. We invite you to test out Qdrant Hybrid cloud today. Simply sign up for or log into your Qdrant Cloud account and enable the feature with a click on "request access to hybrid cloud.” Also, to learn more about Qdrant Hybrid Cloud you can take a look at our Official Release Blog or our Qdrant Hybrid Cloud website. For additional technical insights, please visit our documentation. diff --git a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md index ed5395ac9..080e79ba5 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md +++ b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md @@ -12,17 +12,13 @@ tags: - Vector Database --- -**Unlock New RAG Opportunities with Qdrant Hybrid Cloud and LlamaIndex** - We're happy to announce the collaboration between LlamaIndex 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. 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. 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. -// Possibility to insert quote from LlamaIndex - -**Reap the Benefits of Advanced Integration Features With Qdrant and 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: @@ -32,22 +28,24 @@ Building apps with Qdrant Hybrid Cloud and LlamaIndex comes with several key adv **Advanced Search Features:** LlamaIndex comes with built-in Qdrant Hybrid Search functionality, which combines search results from sparse and dense vectors. As a highly sought-after use case, hybrid search is easily accessible from within the LlamaIndex ecosystem. Deploying this particular type vector search on Hybrid Cloud is a matter of a few lines of code. -**Start Building With LlamaIndex and Qdrant Hybrid Cloud: Hybrid Search in Complex PDF Documentation Use Cases** +#### 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. -**Tutorial: Hybrid Search for Household Appliance Manuals** +#### 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/ +[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/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 be91a9b54..6d9611166 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md +++ b/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md @@ -12,15 +12,13 @@ tags: - Vector Database --- -**** - Qdrant and Oracle Cloud Infrastructure (OCI) Cloud Engineering 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. 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." -**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: @@ -29,19 +27,17 @@ Deploying Qdrant Hybrid Cloud on OCI facilitates vector search in production env - **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 -![Oracle%20Cloud%20Infrastructure%20and%20Qdrant%20Hybrid%20Clou%203c45f99486db4613ab0f64bbfafd3d57/image1.png](Oracle%20Cloud%20Infrastructure%20and%20Qdrant%20Hybrid%20Clou%203c45f99486db4613ab0f64bbfafd3d57/image1.png) +![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. -**> Explore Tutorial** - -**Ready to Get Started?** +[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 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 private region. 3. **Effortless Deployment**: Utilize the Qdrant Management Console to seamlessly create and manage your Qdrant clusters on OCI. @@ -49,4 +45,6 @@ You can find a detailed description in our documentation focused on deploying Qd [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Learn more about Qdrant Hybrid Cloud in the official release blog. Ready to get started? Create your Qdrant Hybrid Cloud cluster in a few minutes by creating your Qdrant Cloud account. \ No newline at end of file +#### 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 1bf26ee5d..493dd8f63 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md @@ -12,13 +12,11 @@ tags: - Vector Database --- -**Qdrant and OVHcloud Collaborate To Bring Vector Search to Startups and Enterprises in Europe With A Strong Focus on Data Control and Privacy** - With the official release of Qdrant Hybrid Cloud, businesses running their data infrastructure on OVHcloud 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. 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. -**Qdrant & OVHcloud: High Performance Vector Search With Full Data Control** +#### Qdrant & OVHcloud: High Performance Vector Search With Full Data Control 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. @@ -27,15 +25,15 @@ Through the seamless integration between Qdrant Hybrid Cloud and OVHcloud, devel - **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 Recommendation System with Collaborative Filtering Using Sparse Vectors with Qdrant Hybrid Cloud and OVHcloud ![hybrid-cloud-ovhcloud-tutorial](/blog/hybrid-cloud-ovhcloud/hybrid-cloud-ovhcloud-tutorial.png) To show how Qdrant Hybrid Cloud deployed on OVHcloud allows developers to leverage the benefits of an AI use case that is completely run within the existing infrastructure, we put together a comprehensive use case tutorial. This tutorial guides you through creating a recommendation system using collaborative filtering and sparse vectors with Qdrant Hybrid Cloud on OVHcloud. It employs the Movielens dataset for practical application, providing insights into building efficient, scalable recommendation engines suitable for developers and data scientists looking to leverage advanced vector search technologies within a secure, GDPR-compliant European cloud infrastructure. -[Try the Tutorial](/documentation/tutorials/recommendation-system-ovhcloud/ +[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: @@ -45,4 +43,6 @@ Setting up Qdrant Hybrid Cloud on OVHcloud is straightforward and quick, thanks [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Learn more about Qdrant Hybrid Cloud in the official release blog. Ready to get started? Create your Qdrant Hybrid Cloud cluster in a few minutes by creating your Qdrant Cloud account. \ No newline at end of file +#### 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 1b3bf125f..ee14f9ddf 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md +++ b/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md @@ -16,13 +16,13 @@ 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. -**The Synergy of Qdrant Hybrid Cloud and Red Hat OpenShift** +#### 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. -**Advantages of Running 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. @@ -30,22 +30,21 @@ Red Hat OpenShift, the industry’s leading hybrid cloud application platform po - **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. -- -**Getting Started with Qdrant Hybrid Cloud on Red Hat OpenShift** + +#### Get Started with Qdrant Hybrid Cloud on Red Hat OpenShift We're thrilled about our collaboration with Red Hat to help simplify AI infrastructure for developers and enterprises alike. By deploying Qdrant Hybrid Cloud on Red Hat OpenShift, developers can gain the ability to more easily scale and maintain greater operational consistency across hybrid cloud environments. 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: -1. **Tutorial: Private Chatbot for Interactive Learning** +#### 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. -> -> -> **> Explore Tutorial** -> -1. **Documentation: Deploy Qdrant in a few clicks** +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 > 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. @@ -53,4 +52,7 @@ To get started, we created a comprehensive tutorial that shows how to build next 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. -Learn more about Qdrant Hybrid Cloud in the official release blog. Ready to get started? Create your Qdrant Hybrid Cloud cluster in a few minutes by creating your Qdrant Cloud account. \ No newline at end of file +#### 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 4970e06d7..95fef4dd1 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-scaleway.md +++ b/qdrant-landing/content/blog/hybrid-cloud-scaleway.md @@ -12,15 +12,13 @@ tags: - Vector Database --- -**Qdrant and Scaleway Empower Innovation in AI with Launch of Hybrid Cloud Vector Search for Startups and Developers** - In a move to empower the next wave of AI innovation, Qdrant and Scaleway 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. 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. *"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* -**Developing a Retrieval Augmented Generation (RAG) Application with Qdrant Hybrid Cloud, Scaleway, and LangChain** +#### Developing a Retrieval Augmented Generation (RAG) Application with Qdrant Hybrid Cloud, Scaleway, and LangChain Retrieval Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating vector search to provide precise, context-rich responses. This combination allows LLMs to access and incorporate specific data in real-time, vastly improving the quality of AI-generated content. @@ -30,9 +28,9 @@ RAG applications often rely on sensitive or proprietary internal data, emphasizi We created a tutorial that guides you through setting up and leveraging Qdrant Hybrid Cloud on Scaleway for a RAG application, providing insights into efficiently managing data within a secure, sovereign framework. It highlights practical steps to integrate vector search with LLMs, optimizing the generation of high-quality, relevant AI content, while ensuring data sovereignty is maintained throughout. -[Try the Tutorial](/documentation/tutorials/rag-chabot-scaleway/ +[Try the Tutorial](/documentation/tutorials/rag-chabot-scaleway/) -**The Benefits of Running Qdrant Hybrid Cloud on Scaleway** +#### The Benefits of Running Qdrant Hybrid Cloud on Scaleway Choosing Qdrant Hybrid Cloud and Scaleway for AI applications offers several key advantages: @@ -41,11 +39,11 @@ Choosing Qdrant Hybrid Cloud and Scaleway for AI applications offers several key - **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 account and select ‘Hybrid Cloud’ to activate. +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. @@ -53,4 +51,6 @@ For more comprehensive guidance, our documentation provides step-by-step instruc [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Read more about Qdrant Hybrid Cloud in our official release blog. To deploy your first cluster in a few clicks, begin by creating a Qdrant Cloud account. Our Hybrid Cloud docs will help you with the rest. \ No newline at end of file +#### 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 72c6f4666..0d29cfba6 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-stackit.md +++ b/qdrant-landing/content/blog/hybrid-cloud-stackit.md @@ -12,21 +12,19 @@ tags: - Vector Database --- -**Qdrant Hybrid Cloud and STACKIT: Empowering German AI Development with a Data Privacy-First Platform** - Qdrant and STACKIT 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. 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. Qdrant Hybrid Cloud is the first managed vector database that can be deployed in an existing STACKIT environment. The Kubernetes-native setup allows businesses to operate a fully managed vector database, while maintaining control over their data through complete data isolation. Qdrant Hybrid Cloud's managed service seamlessly integrates into STACKIT's cloud environment, allowing businesses to deploy fully managed vector search workloads, secure in the knowledge that their operations are backed by the stringent data protection standards of Germany's data centers and in full compliance with GDPR. This setup not only ensures that data remains under the businesses control but also paves the way for secure, AI-driven application development. -**Key Features and Benefits of Qdrant on STACKIT:** +#### 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** +#### Use Case: AI-enabled Contract Management built with Qdrant Hybrid Cloud, STACKIT, and Aleph Alpha ![hybrid-cloud-stackit-tutorial](/blog/hybrid-cloud-stackit/hybrid-cloud-stackit-tutorial.png) @@ -34,11 +32,11 @@ To demonstrate the power of Qdrant Hybrid Cloud on STACKIT, we’ve developed a [Try the Tutorial](/documentation/tutorials/rag-contract-management-stackit-aleph-alpha/) -**Start Using Qdrant with STACKIT** +#### Start Using Qdrant with STACKIT 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. +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. @@ -46,4 +44,6 @@ We invite you to explore the detailed documentation on deploying Qdrant on STACK [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Learn more about Qdrant Hybrid Cloud in the official release blog. Ready to get started? Create your Qdrant Hybrid Cloud cluster in a few minutes by creating your Qdrant Cloud account. \ No newline at end of file +#### 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 2adcbafd6..0d90b8ad1 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-vultr.md +++ b/qdrant-landing/content/blog/hybrid-cloud-vultr.md @@ -12,19 +12,17 @@ tags: - Vector Database --- -**Qdrant Hybrid Cloud and Vultr Provide A Flexible Platform For High-Performance Vector Search For Next-Gen AI Workloads** - We’re excited to share that Qdrant and Vultr 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. -**Adapting to Diverse AI Development Needs with Customization and Deployment Flexibility** +#### Adapting to Diverse AI Development Needs with Customization and Deployment Flexibility In the fast-paced world of AI and ML, businesses are eagerly integrating AI and generative AI to enhance their products with new features like AI assistants, develop new innovative solutions, and streamline internal workflows with AI-driven processes. Given the diverse needs of these applications, it's clear that a one-size-fits-all approach doesn't apply to AI development. This variability in requirements underscores the need for adaptable and customizable development environments. Recognizing this, Qdrant and Vultr have teamed up to offer developers unprecedented flexibility and control. The collaboration enables the deployment of a fully managed vector database on Vultr’s adaptable platform, catering to the specific needs of diverse AI projects. This unique setup offers developers the ideal Vultr environment for their vector search workloads. It ensures seamless adaptability and data privacy with all data residing in their environment. For the first time, Qdrant Hybrid Cloud allows for fully managing a vector database on Vultr, promoting rapid development cycles without the hassle of modifying existing setups and ensuring that data remains secure within the organization. Moreover, this partnership empowers developers with centralized management over their vector database clusters via Qdrant’s control plane, enabling precise size adjustments based on workload demands. This joint setup marks a significant step in providing the AI and ML field with flexible, secure, and efficient application development tools. -"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. +> *"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. -**The Benefits of Deploying Qdrant Hybrid Cloud on Vultr** +#### The Benefits of Deploying Qdrant Hybrid Cloud on Vultr Together, Qdrant Hybrid Cloud and Vultr offer enhanced AI and ML development with streamlined benefits: @@ -33,22 +31,24 @@ Together, Qdrant Hybrid Cloud and Vultr offer enhanced AI and ML development wit - **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** +#### 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** +#### 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. [Try the Tutorial](/documentation/tutorials/rag-chatbot-vultr-dspy-ollama/) -**Documentation: Effortless Deployment with Qdrant** +#### Documentation: Effortless Deployment with Qdrant Our Kubernetes-native framework simplifies the deployment of Qdrant Hybrid Cloud on Vultr, enabling you to get started in just a few straightforward steps. Dive into our documentation to learn more. [Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/) -Learn more about Qdrant Hybrid Cloud in the official release blog. Ready to get started? Create your Qdrant Hybrid Cloud cluster in a few minutes by creating your Qdrant Cloud account. \ No newline at end of file +#### 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 238505cf1..e7446fec2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud.md @@ -13,9 +13,7 @@ tags: - Hybrid Cloud --- -**Qdrant Hybrid Cloud: Introducing the First Managed Vector Database You Can Run Anywhere with Unmatched Flexibility and Control** - -- *André Zayarni, CEO & Co-Founder, Qdrant* +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’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. @@ -30,7 +28,7 @@ Qdrant Hybrid Cloud provides developers a vector database that can be deployed i Let’s explore these aspects in more detail: -**1. Maximizing Deployment Flexibility: Enabling Applications to Run Across Any Environment** +#### Maximizing Deployment Flexibility: Enabling Applications to Run Across Any Environment ![hybrid-cloud-environments](/blog/hybrid-cloud/hybrid-cloud-environments.png) @@ -44,13 +42,13 @@ In addition to our partnerships with key cloud providers, we are also launching 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. -**2. Powering Vector Search & AI with Unmatched Data Sovereignty** +#### 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. 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. -**3. How We Designed the Qdrant Hybrid Cloud Architecture** +#### 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. @@ -61,7 +59,7 @@ We designed the architecture of Qdrant Hybrid Cloud to meet the evolving needs o ![hybrid-cloud-architecture](/blog/hybrid-cloud/hybrid-cloud-architecture.png) -**4. Quick Start: 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: @@ -71,11 +69,20 @@ We’ve made getting started with Qdrant Hybrid Cloud as simple as possible. The 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. -![hybrid-cloud-get-started](/blog/hybrid-cloud/hybrid-cloud-get-started.png) +[![hybrid-cloud-get-started](/blog/hybrid-cloud/hybrid-cloud-get-started.png)](https://cloud.qdrant.io/login) + +## Launch Partners Thank you to our launch partners - learn what they have to say about Qdrant Hybrid Cloud: -- **Oracle**: "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 -- **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. -- **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 +#### Oracle: +> *"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 + +#### 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. + +#### 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