A vector database is a specialized database optimized for storing large numbers of embeddings (vectors) and for quickly searching them based on semantic similarity, rather than exact text matches. It is a key component of modern RAG systems and semantic search, as it enables the most relevant documents or text snippets to be found in milliseconds from an extensive knowledge base.
Vector Database
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