Why are vector databases needed for RAG? We debunk claims of increased LLM accuracy and look into drawbacks of large context windows.| qdrant.tech
Sparse vectors, Discovery API, user-defined sharding, and snapshot-based shard transfer. That's what you can find in the latest Qdrant 1.7.0 release!| qdrant.tech
Why vector search requires a dedicated service.| qdrant.tech
Qdrant 1.6 brings recommendations strategies and more flexibility to the Recommendation API.| qdrant.tech