Qdrant Blog

Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere

Developing Advanced RAG Systems with Qdrant Hybrid Cloud and LangChain

Empowering engineers and scientists globally to easily and securely develop and scale their GenAI applications.

Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks

Syed Asad unfolds the challenges of developing multimodal RAG systems at Kiwi Tech, detailing the balance between accuracy and cost-efficiency, and exploring various tools and approaches like GPT 4 and Mixtral to enhance family tree apps and financial chatbots while navigating the hurdles of data privacy and infrastructure demands.

Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talks

Nick Khami discuss Trieve's work with Qdrant's Open API spec for creating powerful and simplified search and recommendation systems, touching on real-world applications, technical specifics, and the potential for improved user experiences.

Iveta Lohovska on Gen AI and Vector Search | Qdrant

Discover valuable insights on generative AI, vector search, and ethical AI implementation from Iveta Lohovska, Chief Technologist at HPE.

Red Hat OpenShift and Qdrant Hybrid Cloud Offer Seamless and Scalable AI

Qdrant brings managed vector databases to Red Hat OpenShift for large-scale GenAI.

Qdrant Hybrid Cloud and DigitalOcean for Scalable and Secure AI Solutions

Enabling developers to deploy a managed vector database in their DigitalOcean Environment.

Enhance AI Data Sovereignty with Aleph Alpha and Qdrant Hybrid Cloud

Empowering the world’s best companies in their AI journey.

Vultr and Qdrant Hybrid Cloud Support Next-Gen AI Projects

Providing a flexible platform for high-performance vector search in next-gen AI workloads.