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🌱 AI Engineering · Embeddings, Vector Search & RAG · cozy lesson

Vector Databases in 10 Minutes

10 min · 1 min read · no scary math, promise

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You’ve got this. Read a little, play a little — I’ll wait. No rush.

Store: vector + text + metadata {source, date, tenant}. Query: filter tenant=X, top-K=4, rerank. Start with Chroma/pgvector, scale to Pinecone/Qdrant. Re-embed only changed chunks on update.

Check your understanding

Correct answers earn XP (once each).

1. HNSW is for…

2. Filter + vector?

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Select text above → Save selection, or write your own. AlgoMaster-style notebook, local-first for MVP.

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The checkbox in the explorer turns green too — same progress.