Tagged “embeddings”
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What Does a Vector Database Do in RAG?
A vector database is the searchable library in a RAG system: it stores documents as meaning-capturing numbers so the AI can find passages by meaning.
A vector database is the searchable library in a RAG system: it stores documents as meaning-capturing numbers so the AI can find passages by meaning.