— Tools
Vector Database
A database optimised for storing and searching embeddings by similarity.
What is Vector Database?
A vector database stores embeddings and lets you query by similarity — 'find documents most similar to this query.' Core infrastructure for RAG. Common options: Pinecone (managed, fast), Supabase pgvector (PostgreSQL extension, what ONROL teaches), Weaviate (open-source, feature-rich), Chroma (lightweight, dev-friendly).
— Related
Terms connected to Vector Database
Techniques
Embedding
A numeric representation of text (or image) that captures its meaning.
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RAG (Retrieval-Augmented Generation)
Giving an AI access to your private documents so it can answer questions about them.
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Semantic Search
Search that understands meaning, not just keyword matches.
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