Local-First RAG: Vector Search in SQLite with Hamming Distance
SMRTR summary
Tutorial demonstrates building a local RAG pipeline using SQLite for vector search with binary quantization and Hamming distance. Covers schema design, custom SQLite functions for distance computation, and connecting retrieved context to LLMs via Ollama or OpenAI. Achieves 32x storage compression and single-digit millisecond search times for hundreds of thousands of documents without cloud infrastructure costs.
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