Vector Databases Explained: Embeddings, Similarity Search, and When You Need One

By Coder Secret | | Category: ai

Vector databases power semantic search, recommendation engines, and RAG pipelines. Learn how embeddings work, the HNSW algorithm behind similarity search, chunking strategies, and when pgvector is enough vs when you need Pinecone.

Read the full article on CodersSecret.

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