Large Language Models & Generative AIVector Databases, HNSW Indexing & Hybrid Search

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Vector Databases, HNSW Indexing & Hybrid Search

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Lesson Summary: Setting up ChromaDB and Pinecone, Approximate Nearest Neighbor (ANN) search, and BM25 hybrid ranking.

Exact k-NN search requires $O(N)$ dot products across millions of vectors—unusable for production sub-second latency. Vector databases utilize Hierarchical Navigable Small World (HNSW) graphs to search in logarithmic $O(\log N)$ time.

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System Prompts, Few-Shot In-Context Learning & Structured Outputs

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