From 82eab96cdb5e69a251e48c7e2a03f9214aefdfb0 Mon Sep 17 00:00:00 2001 From: davidmyriel Date: Sun, 14 Apr 2024 19:43:38 -0700 Subject: [PATCH] update links and quotes --- .../content/blog/hybrid-cloud-airbyte.md | 2 + .../content/blog/hybrid-cloud-llamaindex.md | 6 ++- ...ybrid-cloud-oracle-cloud-infrastructure.md | 2 +- .../content/blog/hybrid-cloud-ovhcloud.md | 2 +- .../blog/hybrid-cloud-red-hat-openshift.md | 2 + .../content/blog/hybrid-cloud-vultr.md | 6 +-- qdrant-landing/content/blog/hybrid-cloud.md | 45 ++++++++++++------- 7 files changed, 41 insertions(+), 24 deletions(-) diff --git a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md index c068054b2..10e04676b 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-airbyte.md +++ b/qdrant-landing/content/blog/hybrid-cloud-airbyte.md @@ -18,6 +18,8 @@ This is a major step forward in offering enterprise customers incredible synergy In a major benefit to Generative AI, businesses can leverage Airbyte's data replication capabilities to ensure that their data in Qdrant Hybrid Cloud is always up to date. This empowers all users of Retrieval Augmented Generation (RAG) applications with effective analysis and decision-making potential, all based on the latest information. Furthermore, by combining Airbyte's platform and Qdrant's hybrid cloud infrastructure, users can optimize their data operations while keeping costs under control via flexible pricing models tailored to individual usage requirements. +> *“The Qdrant product lineup is a great fit for the Airbyte community. Native Python support pairs extremely well with our recent PyAirbyte launch, and the Qdrant K8 and Cloud offerings make a great complement for Airbyte OSS and Airbyte Cloud users, respectively. We’re excited to be working with Qdrant to unlock new and exciting use cases for AI and Data.”* AJ Steers, Staff Engineer for AI, Airbyte + #### Optimizing Your GenAI Data Stack With Airbyte and Qdrant Hybrid Cloud By integrating Airbyte with Qdrant Hybrid Cloud, you can achieve seamless data ingestion from diverse sources into Qdrant's powerful indexing system. This integration enables you to derive valuable insights from your data. Here are some key advantages: diff --git a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md index 325a2da17..8316bfff2 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md +++ b/qdrant-landing/content/blog/hybrid-cloud-llamaindex.md @@ -18,6 +18,8 @@ With Qdrant Hybrid Cloud, users have the flexibility to deploy their vector data While LLMs are trained on a great deal of data, they are not trained on user-specific data, which may be private or highly specific. LlamaIndex meets this challenge by adding context to LLM-based generation methods. In turn, Qdrant’s popular vector database sorts through semantically relevant information, which can further enrich the performance gains from LlamaIndex’s data connection features. With LlamaIndex, users can tap into state-of-the-art functions to query, chat, sort or parse data. Through the integration of Qdrant Hybrid Cloud and LlamaIndex developers can conveniently vectorize their data and perform highly accurate semantic search - all within their own environment. +> *“LlamaIndex is thrilled to partner with Qdrant on the launch of Qdrant Hybrid Cloud, which upholds Qdrant's core functionality within a Kubernetes-based architecture. This advancement enhances LlamaIndex's ability to support diverse user environments, facilitating the development and scaling of production-grade, context-augmented LLM applications.”* Jerry Liu, CEO and Co-Founder, LlamaIndex + #### Reap the Benefits of Advanced Integration Features With Qdrant and LlamaIndex Building apps with Qdrant Hybrid Cloud and LlamaIndex comes with several key advantages: @@ -30,10 +32,10 @@ Building apps with Qdrant Hybrid Cloud and LlamaIndex comes with several key adv #### Start Building With LlamaIndex and Qdrant Hybrid Cloud: Hybrid Search in Complex PDF Documentation Use Cases -![hybrid-cloud-llamaindex-tutorial](/blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex-tutorial.png) - To get you started, we created a comprehensive tutorial that shows how to build next-gen AI applications with Qdrant Hybrid Cloud using the LlamaIndex framework and the LlamaParse API. +![hybrid-cloud-llamaindex-tutorial](/blog/hybrid-cloud-llamaindex/hybrid-cloud-llamaindex-tutorial.png) + #### Tutorial: Hybrid Search for Household Appliance Manuals Use this end-to-end tutorial to create a system that retrieves information from complex user manuals in PDF format to enhance user experience for companies that sell household appliances. You will build a RAG pipeline with LlamaIndex leveraging Qdrant Hybrid Cloud for enhanced generative AI capabilities. The LlamaIndex integration shows how complex tables inside of items’ PDF documents can be processed via hybrid vector search with no additional configuration. 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 c913fd707..cbc0d5e55 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md +++ b/qdrant-landing/content/blog/hybrid-cloud-oracle-cloud-infrastructure.md @@ -16,7 +16,7 @@ Qdrant and Oracle Cloud Infrastructure (OCI) Cloud Engineering are thrilled to a In the past years, enterprises have been actively engaged in exploring AI applications to enhance their products and services or unlock internal company knowledge to drive the productivity of teams. These applications range from generative AI use cases, for example, powered by retrieval augmented generation (RAG), recommendation systems, or advanced enterprise search through semantic, similarity, or neural search. As these vector search applications continue to evolve and grow with respect to dimensionality and complexity, it will be increasingly relevant to have a scalable, manageable vector search engine, also called out by Gartner’s 2024 Impact Radar. In addition to scalability, enterprises also require flexibility in deployment options to be able to maximize the use of these new AI tools within their existing environment, ensuring interoperability and full control over their data. -"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure," said Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle. "By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data." +> *"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure. By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data."* Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle. #### How Qdrant and OCI Support Enterprises in Unlocking Value Through AI diff --git a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md index 9e535a9cc..4303b761c 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud-ovhcloud.md @@ -28,7 +28,7 @@ Through the seamless integration between Qdrant Hybrid Cloud and OVHcloud, devel - **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 Qdrant Hybrid Cloud and OVHcloud +#### Build a RAG-Based System with Qdrant Hybrid Cloud and OVHcloud ![hybrid-cloud-ovhcloud-tutorial](/blog/hybrid-cloud-ovhcloud/hybrid-cloud-ovhcloud-tutorial.png) 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 b08fedb11..b93f4cc85 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md +++ b/qdrant-landing/content/blog/hybrid-cloud-red-hat-openshift.md @@ -16,6 +16,8 @@ We’re excited about our collaboration with Red Hat to bring the Qdrant vector In the rapidly evolving field of Artificial Intelligence and Machine Learning, the demand for being able to manage the modern AI stack within the existing infrastructure becomes increasingly relevant for businesses. As enterprises are launching new AI applications and use cases into production, they require the ability to maintain complete control over their data, since these new apps often work with sensitive internal and customer-centric data that needs to remain within the owned premises. This is why enterprises are increasingly looking for maximum deployment flexibility for their AI workloads. +>*“Red Hat is committed to driving transparency, flexibility and choice for organizations to more easily unlock the power of AI. By working with partners like Qdrant to enable streamlined integration experiences on Red Hat OpenShift for AI use cases, organizations can more effectively harness critical data and deliver real business outcomes,”* said Steven Huels, Vice President and General Manager, AI Business Unit, Red Hat. + #### The Synergy of Qdrant Hybrid Cloud and Red Hat OpenShift Qdrant Hybrid Cloud is the first vector database that can be deployed anywhere, with complete database isolation, while still providing a fully managed cluster management. Running Qdrant Hybrid Cloud on Red Hat OpenShift allows enterprises to deploy and run a fully managed vector database in their own environment, ultimately allowing businesses to run managed vector search on their existing cloud and infrastructure environments, with full data sovereignty. diff --git a/qdrant-landing/content/blog/hybrid-cloud-vultr.md b/qdrant-landing/content/blog/hybrid-cloud-vultr.md index 4c4d8b966..8cf997982 100644 --- a/qdrant-landing/content/blog/hybrid-cloud-vultr.md +++ b/qdrant-landing/content/blog/hybrid-cloud-vultr.md @@ -36,11 +36,11 @@ Together, Qdrant Hybrid Cloud and Vultr offer enhanced AI and ML development wit #### Getting Started with Qdrant Hybrid Cloud and Vultr -![hybrid-cloud-vultr-tutorial](/blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png) - We've compiled an in-depth guide for leveraging Qdrant Hybrid Cloud on Vultr to kick off your journey into building cutting-edge AI solutions. For further insights into the deployment process, refer to our comprehensive documentation. -#### Tutorial Crafting a Personalized AI Assistant with RAG +![hybrid-cloud-vultr-tutorial](/blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png) + +#### Tutorial: Crafting a Personalized AI Assistant with RAG This tutorial outlines creating a personalized AI assistant using Qdrant Hybrid Cloud on Vultr, incorporating advanced vector search to power dynamic, interactive experiences. We will develop a RAG pipeline powered by DSPy and detail how to maintain data privacy within your Vultr environment. diff --git a/qdrant-landing/content/blog/hybrid-cloud.md b/qdrant-landing/content/blog/hybrid-cloud.md index 48510ff95..3202369e3 100644 --- a/qdrant-landing/content/blog/hybrid-cloud.md +++ b/qdrant-landing/content/blog/hybrid-cloud.md @@ -13,11 +13,11 @@ tags: - Hybrid Cloud --- -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. +We are excited to announce the official launch of **Qdrant Hybrid Cloud** today, a significant leap forward in the field of vector search and enterprise AI. Rooted in our open-source origin, we are committed to offering our users and customers unparalleled control and sovereignty over their data and vector search workloads. Qdrant Hybrid Cloud stands as the industry's first managed vector database that can be deployed in any environment - be it cloud, on-premise, or the edge. -Looking at the evolution of the AI application landscape (incl. GenAI, semantic search, or recommendation systems) over recent years, it's clear that developers’ and machine learning engineers’ needs and expectations for the modern AI stack have advanced. The industry is swiftly transitioning from a phase heavily focused on prototyping innovative AI solutions to a stage where businesses are actively deploying AI applications into production. In this new phase, considerations such as **privacy**, **data sovereignty**, **deployment flexibility**, and **control** have become top of mind for developers. These factors are critical when developing, launching, and scaling new applications, whether they are customer-facing services like AI assistants or internal company solutions for knowledge and information retrieval or process automation. +As the AI application landscape evolves, the industry is transitioning from prototyping innovative AI solutions to actively deploying AI applications into production (incl. GenAI, semantic search, or recommendation systems). In this new phase, **privacy**, **data sovereignty**, **deployment flexibility**, and **control** are at the top of developers’ minds. These factors are critical when developing, launching, and scaling new applications, whether they are customer-facing services like AI assistants or internal company solutions for knowledge and information retrieval or process automation. -Qdrant Hybrid Cloud provides developers a vector database that can be deployed in their existing environment, ensuring data sovereignty and privacy control through complete database isolation - all while being fully managed. +Qdrant Hybrid Cloud offers developers a vector database that can be deployed in any existing environment, ensuring data sovereignty and privacy control through complete database isolation - with the full capabilities of our managed cloud service. - **Unmatched Deployment Flexibility**: With its Kubernetes-native architecture, Qdrant Hybrid Cloud provides the ability to bring your own cloud or compute by deploying Qdrant as a managed service on the infrastructure of choice, such as Oracle Cloud Infrastructure (OCI), Vultr, Red Hat OpenShift, DigitalOcean, OVHcloud, Scaleway, STACKIT, Civo, VMware vSphere, AWS, Google Cloud, or Microsoft Azure. @@ -25,7 +25,7 @@ Qdrant Hybrid Cloud provides developers a vector database that can be deployed i - **Scalable & Secure Architecture**: Qdrant Hybrid Cloud's design ensures scalability and adaptability with its Kubernetes-native architecture, separates data and control for enhanced security, and offers a unified management interface for ease of use, enabling businesses to grow and adapt without compromising privacy or control. -- **Effortless Setup in Seconds**: Setting up Qdrant Hybrid Cloud is incredibly straightforward, thanks to a "One-Step" Kubernetes installation that connects effortlessly with your chosen infrastructure, enabling secure, scalable deployments right from the get-go +- **Effortless Setup in Seconds**: Setting up Qdrant Hybrid Cloud is incredibly straightforward, thanks to our [simple Kubernetes installation](/documentation/hybrid-cloud/) that connects effortlessly with your chosen infrastructure, enabling secure, scalable deployments right from the get-go Let’s explore these aspects in more detail: @@ -33,21 +33,19 @@ Let’s explore these aspects in more detail: ![hybrid-cloud-environments](/blog/hybrid-cloud/hybrid-cloud-environments.png) -Our Qdrant Hybrid Cloud is the first managed vector database engineered for unmatched deployment flexibility and control, enabling use across any cloud, on-premise, or edge locations. This means that regardless of where you choose to run your AI applications, you can now enjoy the benefits of a fully managed Qdrant vector database, simplifying operations. - -This unparalleled deployment flexibility, powered by our seamless Kubernetes-native architecture, allows for deployment beyond traditional platforms like AWS, Google Cloud, or Microsoft Azure, reaching into diverse environments with ease. +Qdrant Hybrid Cloud, powered by our seamless Kubernetes-native architecture, is the first managed vector database engineered for unparalleled deployment flexibility. This means that regardless of where you run your AI applications, you can now enjoy the benefits of a fully managed Qdrant vector database, simplifying operations across any cloud, on-premise, or edge locations. For this launch of Qdrant Hybrid Cloud, we are proud to collaborate with key cloud providers, including **Oracle Cloud Infrastructure (OCI)**, [Red Hat OpenShift](/blog/hybrid-cloud-red-hat-openshift/), [Vultr](/blog/hybrid-cloud-vultr/), [DigitalOcean](/blog/hybrid-cloud-digitalocean/), [OVHcloud](/blog/hybrid-cloud-ovhcloud/), [Scaleway](/blog/hybrid-cloud-scaleway/), and [STACKIT](/blog/hybrid-cloud-stackit/). These partnerships underscore our commitment to delivering a versatile and robust vector database solution that meets the complex deployment requirements of today's AI applications. In addition to our partnerships with key cloud providers, we are also launching in collaboration with renowned AI development tools and framework leaders, including [LlamaIndex](/blog/hybrid-cloud-llamaindex/), **LangChain**, [Airbyte](/blog/hybrid-cloud-airbyte/), [JinaAI](/blog/hybrid-cloud-jinaai/), [Haystack by deepset](/blog/hybrid-cloud-haystack/), and [Aleph Alpha](/blog/hybrid-cloud-aleph-alpha/). These launch partners are instrumental in ensuring our users can seamlessly integrate with essential technologies for their AI applications, enriching our offering and reinforcing our commitment to versatile and comprehensive deployment environments. -Together with our launch partners we have created detailed tutorials that show how to build cutting-edge AI applications with Qdrant Hybrid Cloud on the infrastructure of your choice. These tutorials are available in our launch partner blog. Additionally, you can find expansive documentation and tutorials on how to deploy Qdrant Hybrid Cloud. +Together with our launch partners we have created detailed tutorials that show how to build cutting-edge AI applications with Qdrant Hybrid Cloud on the infrastructure of your choice. These tutorials are available in our [launch partner blog](/blog/hybrid-cloud-launch-partners/). Additionally, you can find expansive [documentation](/documentation/hybrid-cloud/) and instructions on how to [deploy Qdrant Hybrid Cloud](/documentation/hybrid-cloud/hybrid-cloud-setup/). #### Powering Vector Search & AI with Unmatched Data Sovereignty -Proprietary data, the lifeblood of AI-driven innovation, fuels personalized experiences, accurate recommendations, and timely anomaly detection. This data, unique to each organization, encompasses customer behaviors, internal processes, and market insights - crucial for tailoring AI applications to specific business needs and competitive differentiation. However, leveraging such data effectively while ensuring its security, privacy, and control requires diligence. +Proprietary data, the lifeblood of AI-driven innovation, fuels personalized experiences, accurate recommendations, and timely anomaly detection. This data, unique to each organization, encompasses customer behaviors, internal processes, and market insights - crucial for tailoring AI applications to specific business needs and competitive differentiation. However, leveraging such data effectively while ensuring its **security, privacy, and control** requires diligence. -Our Qdrant Hybrid Cloud offering is tailored to meet these multifaceted requirements in a data-sensitive world. The innovative architecture of Qdrant Hybrid Cloud ensures complete database isolation, empowering developers with the autonomy to decide where to process their vector search workloads, thus maintaining total data sovereignty. This strategic approach, rooted deeply in our commitment to open-source principles, is aimed at fostering a new level of trust and reliability by providing the essential tools to navigate the evolving landscape of enterprise AI. +The innovative architecture of Qdrant Hybrid Cloud ensures **complete database isolation**, empowering developers with the autonomy to tailor where they process their vector search workloads with total data sovereignty. Rooted deeply in our commitment to open-source principles, this approach aims to foster a new level of trust and reliability by providing the essential tools to navigate the exciting landscape of enterprise AI. #### How We Designed the Qdrant Hybrid Cloud Architecture @@ -57,7 +55,7 @@ We designed the architecture of Qdrant Hybrid Cloud to meet the evolving needs o - **Decoupled Data and Control Planes**: Our architecture separates the data plane (where the data is stored and processed) from the control plane (which manages the cluster operations). This separation enhances security, allows for more granular control over the data, and enables the data plane to reside anywhere the user chooses. -- **Unified Management Interface**: Despite the underlying complexity and the diversity of deployment environments, we designed a unified, user-friendly interface that simplifies the Qdrant cluster management. This interface supports everything from deployment to scaling and upgrading operations, all accessible from the Qdrant Cloud portal. +- **Unified Management Interface**: Despite the underlying complexity and the diversity of deployment environments, we designed a unified, user-friendly interface that simplifies the Qdrant cluster management. This interface supports everything from deployment to scaling and upgrading operations, all accessible from the [Qdrant Cloud portal](https://cloud.qdrant.io/login). - **Extensible and Modular**: Recognizing the rapidly evolving nature of technology and enterprise needs, we built Qdrant Hybrid Cloud to be both extensible and modular. Users can easily integrate new services, data sources, and deployment environments as their requirements grow and change. @@ -68,13 +66,13 @@ We designed the architecture of Qdrant Hybrid Cloud to meet the evolving needs o We’ve made getting started with Qdrant Hybrid Cloud as simple as possible. The Kubernetes “One-Step” installation will allow you to connect with the infrastructure of your choice. This is how you can get started: -1. **Activate Hybrid Cloud**: Simply sign up for or log into your Qdrant Cloud account and enable the feature with a click on "request access to hybrid cloud." +1. **Activate Hybrid Cloud**: Simply sign up for or log into your [Qdrant Cloud](https://cloud.qdrant.io/login) account and navigate to the **Hybrid Cloud** section. -2. **Onboard your Kubernetes cluster**: Navigate to the Hybrid Cloud section to add your Kubernetes cluster as a private region - be it in the cloud, on-premise, or at the edge. +2. **Onboard your Kubernetes cluster**: Follow the onboarding wizard and add your Kubernetes cluster as a private region - be it in the cloud, on-premise, or at the edge. 3. **Deploy Qdrant clusters securely, with confidence:** Now, you can effortlessly create and manage Qdrant clusters in your own environment, directly from the central Qdrant Management Console. This supports horizontal and vertical scaling, zero-downtime upgrades, and disaster recovery seamlessly, allowing you to deploy anywhere with confidence. -Explore our detailed documentation and tutorials to seamlessly deploy Qdrant Hybrid Cloud in your preferred environment, and don't miss our launch partner blog post for practical insights. Start leveraging the full potential of Qdrant Hybrid Cloud and create your first Qdrant cluster today, unlocking the flexibility and control essential for your AI and vector search workloads. +Explore our [detailed documentation](/documentation/hybrid-cloud) and [tutorials](/documentation/examples/) to seamlessly deploy Qdrant Hybrid Cloud in your preferred environment, and don't miss our [launch partner blog post](/blog/hybrid-cloud-launch-partners/) for practical insights. Start leveraging the full potential of Qdrant Hybrid Cloud and [create your first Qdrant cluster today](https://cloud.qdrant.io/login), unlocking the flexibility and control essential for your AI and vector search workloads. [![hybrid-cloud-get-started](/blog/hybrid-cloud/hybrid-cloud-get-started.png)](https://cloud.qdrant.io/login) @@ -82,14 +80,27 @@ Explore our detailed documentation and tutorials to seamlessly deploy Qdrant Hyb Thank you to our launch partners - learn what they have to say about Qdrant Hybrid Cloud: -#### Oracle: +#### Oracle Cloud Infrastructure: > *"We are excited to partner with Qdrant to bring their powerful vector search capabilities to Oracle Cloud Infrastructure. By offering Qdrant Hybrid Cloud as a managed service on OCI, we are empowering enterprises to harness the full potential of AI-driven applications while maintaining complete control over their data. This collaboration represents a significant step forward in making scalable vector search accessible and manageable for businesses across various industries, enabling them to drive innovation, enhance productivity, and unlock valuable insights from their data."* Dr. Sanjay Basu, Senior Director of Cloud Engineering, AI/GPU Infrastructure at Oracle +#### Red Hat: +> *“Red Hat is committed to driving transparency, flexibility and choice for organizations to more easily unlock the power of AI. By working with partners like Qdrant to enable streamlined integration experiences on Red Hat OpenShift for AI use cases, organizations can more effectively harness critical data and deliver real business outcomes,”* said Steven Huels, vice president and general manager, AI Business Unit, Red Hat. + #### 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. +#### 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. + + #### 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 +#### Airbyte: +> *“The Qdrant product lineup is a great fit for the Airbyte community. Native Python support pairs extremely well with our recent PyAirbyte launch, and the Qdrant K8 and Cloud offerings make a great complement for Airbyte OSS and Airbyte Cloud users, respectively. We’re excited to be working with Qdrant to unlock new and exciting use cases for AI and Data.”* AJ Steers, Staff Engineer for AI, Airbyte + +#### 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. + +#### LlamaIndex: +> *“LlamaIndex is thrilled to partner with Qdrant on the launch of Qdrant Hybrid Cloud, which upholds Qdrant's core functionality within a Kubernetes-based architecture. This advancement enhances LlamaIndex's ability to support diverse user environments, facilitating the development and scaling of production-grade, context-augmented LLM applications.”* Jerry Liu, CEO and Co-Founder, LlamaIndex \ No newline at end of file