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2026-09-28 07:28:30 +02:00 · 2024-04-11 13:26:09 -07:00
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+---
+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."
+preview_image: /blog/hybrid-cloud-aleph-alpha/hybrid-cloud-aleph-alpha.png
+date: 2024-04-11T00:01:00Z
+author: Qdrant
+featured: false
+tags:
+  - Qdrant
+  - 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**
+
+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.
+
+**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**
+
+![Aleph%20Alpha%20and%20Qdrant%20Hybrid%20Cloud%200d5312f1a4034f1a9d6063c2251fc264/image1.png](Aleph%20Alpha%20and%20Qdrant%20Hybrid%20Cloud%200d5312f1a4034f1a9d6063c2251fc264/image1.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**
+
+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**
+
+**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.
@@ -0,0 +1,43 @@
+---
+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."
+preview_image: /blog/hybrid-cloud-digitalocean/hybrid-cloud-digitalocean.png
+date: 2024-04-11T00:02:00Z
+author: Qdrant
+featured: false
+tags:
+  - Qdrant
+  - 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**
+
+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.
+
+## **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.
+
+- **Simple Deployment**: Leveraging Kubernetes, deploying Qdrant Hybrid Cloud on DigitalOcean is streamlined, making the management of vector search workloads in the own environment more efficient.
+- **Own Infrastructure**: Hosting the vector database on your own DigitalOcean infrastructure in a managed way, provides flexibility and allows you to manage the full AI stack in one place.
+- **Data Control**: Deploying within the own DigitalOcean environment ensures data control, keeping sensitive information within the own security perimeter.
+
+To get Qdrant Hybrid Cloud setup on DigitalOcean, just follow these steps:
+
+- **Hybrid Cloud Setup**: Begin by logging into your Qdrant Cloud account 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/)
@@ -0,0 +1,52 @@
+---
+draft: false
+title: "Oracle Cloud Infrastructure 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."
+preview_image: /blog/hybrid-cloud-oracle-cloud-infrastructure/hybrid-cloud-oracle-cloud-infrastructure.png
+date: 2024-04-11T00:03:00Z
+author: Qdrant
+featured: false
+tags:
+  - Qdrant
+  - Vector Database
+---
+
+**Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI Applications**
+
+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**
+
+Deploying Qdrant Hybrid Cloud on OCI facilitates vector search in production environments without altering existing setups, ideal for enterprises and developers leveraging OCI's services. Key benefits include:
+
+- **Seamless Deployment:** Qdrant Hybrid Cloud’s Kubernetes-native architecture allows to simply connect your OCI cluster as a private region and deploy Qdrant with a one-step installation ensuring a smooth and scalable setup.
+- **Seamless Integration with OCI Services:** The integration facilitates efficient resource utilization and enhances security provisions by leveraging OCI's comprehensive suite of services.
+- **Simplified Cluster Management**: Qdrant’s central cluster management allows to scale your cluster on OCI (vertically and horizontally), and supports seamless zero-downtime upgrades and disaster recovery,
+- **Control and Data Privacy**: Deploying Qdrant on OCI ensures complete data isolation, while enjoying the benefits of a fully managed cluster management.
+
+**Qdrant on OCI in Action: Building a RAG System for AI-enabled Support**
+
+![Oracle%20Cloud%20Infrastructure%20and%20Qdrant%20Hybrid%20Clou%203c45f99486db4613ab0f64bbfafd3d57/image1.png](Oracle%20Cloud%20Infrastructure%20and%20Qdrant%20Hybrid%20Clou%203c45f99486db4613ab0f64bbfafd3d57/image1.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?**
+
+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’.
+2. **Cluster Integration**: In the Hybrid Cloud section, add your OCI Kubernetes clusters as a private region.
+3. **Effortless Deployment**: Utilize the Qdrant Management Console to seamlessly create and manage your Qdrant clusters on OCI.
+
+You can find a detailed description in our documentation focused on deploying Qdrant on OCI.
+
+[Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/)
+
+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.
@@ -0,0 +1,58 @@
+---
+draft: false
+title: "Red Hat OpenShift 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."
+preview_image: /blog/hybrid-cloud-red-hat-openshift/hybrid-cloud-red-hat-openshift.png
+date: 2024-04-11T00:04:00Z
+author: Qdrant
+featured: false
+tags:
+  - Qdrant
+  - Vector Database
+---
+
+**Qdrant Brings Managed Vector Database to Red Hat OpenShift Environments: A More Seamless Integration for Scalable AI Applications**
+
+We’re excited about our collaboration with Red Hat to bring the Qdrant vector database to Red Hat 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.
+
+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**
+
+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:**
+
+- **Scalability**: Red Hat OpenShift's container orchestration effortlessly scales Qdrant Hybrid Cloud components, accommodating fluctuating workload demands with ease.
+- **Portability**: The consistency across hybrid cloud environments provided by Red Hat OpenShift allows for smoother operation of Qdrant Hybrid Cloud across various infrastructures.
+- **Automation**: Deployment, scaling, and management tasks are automated, reducing operational overhead and simplifying the management of Qdrant Hybrid Cloud.
+- **Security**: Red Hat OpenShift provides built-in security features, including container isolation, network policies, and role-based access control (RBAC), enhancing the security posture of Qdrant Hybrid Cloud deployments.
+- **Flexibility:** Red Hat OpenShift supports a wide range of programming languages, frameworks, and tools, providing flexibility in developing and deploying Qdrant Hybrid Cloud applications.
+- **Integration:** Red Hat OpenShift can be integrated with various Red Hat and third-party tools, facilitating seamless integration of Qdrant Hybrid Cloud with other enterprise systems and services.
+- 
+
+**Getting 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**
+
+> 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**
+
+> 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.
+
+[Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/)
+
+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.
@@ -25,7 +25,7 @@ the API key only once, when the QdrantClient instance is created.
 You can also attach your own infrastructure as a private region on the Hybrid
 Cloud. Once attached, you can control this cloud using the same tools and UI
 that you use for other cloud providers. For details, see our 
-[Hybrid Cloud](/documentation/cloud/hybrid-cloud/) documentation.
+[Hybrid Cloud](/documentation/hybrid-cloud/) documentation.

 ## Cluster configuration