๐ Step 6: Development#279 / 291
Vector Database
Vector Database
๐One-line summary
A database built to store and search embedding vectors.
๐กEasy explanation
A database specialized in storing embeddings and finding 'things with similar meaning.' The backbone of RAG, recommendations, and image-similarity search.
โจExample
Quickly find items with similar meaning
doc#1
0.91
doc#2
0.88
doc#3
0.85
doc#4
0.42
doc#5
0.31
doc#6
0.18
Top 3 used for RAG
โกVibe coding prompt examples
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Compare Pinecone, Weaviate, pgvector, and Qdrant on cost, ops effort, and features.
>_
Write a minimal pgvector RAG example in PostgreSQL + Node.js, including how to choose the index type.
>_
Vector DB index rebuilds take forever. Explain incremental indexing and the double-write pattern.
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