Vector database
5 videos across 4 channels
Vector databases store embeddings to enable semantic understanding and retrieval, complementing traditional SQL for exact, structured queries. The videos show how these databases power RAG pipelines, easy website AI search with one-click deployments, and practical frontend/backend workflows using tools like PGVector and popular web frameworks. Together, they highlight a growing ecosystem that blends embeddings, vector storage, and traditional querying to unlock smarter search, reasoning, and user flows.
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