🌱 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.
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Check your understanding
Correct answers earn XP (once each).
1. HNSW is for…
2. Filter + vector?
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The checkbox in the explorer turns green too — same progress.