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Redhmam
Offline, last seen 6 months ago
Joined September 25, 2024
Hi guys, i have a quick question:

I created an script to get data from qdrant:
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  service_context = ServiceContext.from_defaults()
    vector_store = QdrantVectorStore(client=client, collection_name="pdfs")
    storage_context = StorageContext.from_defaults(vector_store=vector_store)
    index = VectorStoreIndex.from_documents(
        documents=[], storage_context=storage_context, service_context=service_context
    )


And then i query:
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query_engine = index.as_query_engine(
        similarity_top_k=similarity_top_k, 
        response_mode=response_mode
    )
    response = query_engine.query(q)


But i would like some times make general question about all the context.. but looks like in the background just some similar data is fetched from qdrant... are there any way about use everything?
7 comments
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Redhmam
·

Qdrant

Hi guys, i'm using SimpleDirectoryReader, how the best way to create embeddings? (or after create the index, how to get the embeddings to store on qdrant for example ?)
19 comments
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Guys, i would ingest 10k of documents to llama-index. Any suggestion about what vector store to use?
3 comments
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