The community members are discussing the best vector database for LlamaIndex, with a focus on strong similarity search. One community member recommends Qdrant, citing its feature support, filtering capabilities, and reliability. Another community member asks about pg vector and its performance. The discussion also covers other document and index stores like Mongo, Redis, Firestore, and Postgres, with a community member seeking advice on which to choose. There is some confusion around whether Qdrant supports hybrid search, with conflicting information from different sources. Overall, the community members seem to favor Qdrant but are open to other options as well.
thanks for your answer. what about document and index stores? in the documentation I see Mongo, Redis, Firestore. which one do you like? did you consider Postgress?
and the same question about the Index store. I just want to choose one of them but need advice.
Hey! I use Firestore for many of my applications just not for indexes. I am venturing into it. Can you please tell us more about your experience? Any specific reason to getting away from it?
