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Updated 2 months ago

Hybrid

Hybrid search is now RAG best practice so with Qdrant as vector store what is difference between https://docs.llamaindex.ai/en/stable/examples/vector_stores/qdrant_hybrid/ and using Fastembed?
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2 comments
fast embed is just an embedding package that happens to provide sparse embeddings

That notebook is showing how to let QdrantVectorStore generate sparse embeddings for you. By default, it's using fastembed, but you can also customize it (which is useful if you host the models on another server and need to make API calls)
Yes, I think Fastembed supports many embedding models but not all.
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