A vector database stores embeddings and supports similarity search over them, often with metadata filters. Retrieval quality also depends on chunking, embedding choice, query design and the source data.
A vector database stores embeddings and supports similarity search over them, often with metadata filters. Retrieval quality also depends on chunking, embedding choice, query design and the source data.
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