Vector Database
In one sentenceA database built to store embeddings and quickly find the most similar items. The memory behind many RAG systems.
What it means
Regular databases find exact matches. Vector databases find nearest neighbors: the passages closest in meaning to your question. Examples include Pinecone, Weaviate, Chroma and pgvector.
How to use it
- Relevant if you are building an AI assistant on your own content. For most users, tools that let you upload files handle this for you.
Related terms
Embeddings RAG Semantic Search Obsidian
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