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Updated 2 months ago

Clarification on Qdrant Integration as a Vector Store for Llama Index

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Hi, i wanted to a small clarification on the qdrant integration as a vector store for llama index

I am able to query and get responses as a retriever as well having semantic relations but when i see the documents stored.

I assume that this means that the vectors indexed are 0 only , can some one comment on what could be wrong here ?

4 comments

LLogan M

why would you assume the vectors are 0? I can almost garuntee its inedexed properly

LLogan M

especially if retrieval works

ppurple crow

ok but i said bcoz the indexed_vectors_count seems to be 0 and then i dont even see the vectors as such when i see the docs easily on the qdrant inerface

LLogan M

Idk how qdrants dashboard works, but it works fine for me 🤷‍♂️

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