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Vector Database

Database that stores and searches by meaning

A specialized database designed to store, index, and search embeddings — numerical representations of data — based on semantic similarity rather than exact keyword matches. Pinecone, Weaviate, and Qdrant are popular options. Vector databases are the infrastructure behind RAG systems, semantic search, and recommendation engines. For content creators, they enable searching your entire content archive by meaning, not just keywords.

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