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Clarification on Qdrant Integration as a Vector Store for Llama Index
Clarification on Qdrant Integration as a Vector Store for Llama Index
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purple crow
last week
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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 ?
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Logan M
last week
why would you assume the vectors are 0? I can almost garuntee its inedexed properly
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Logan M
last week
especially if retrieval works
p
purple crow
last week
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
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Logan M
last week
Idk how qdrants dashboard works, but it works fine for me π€·ββοΈ
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