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Building a FastAPI service that parses a large polyglot repo with tree-sitter, indexes it with embeddings and FAISS, generates architecture diagrams on demand, and answers natural-language questions about the codebase.
2 posts
How does an assistant remember you across sessions? A speaker-attributed extraction pipeline with dedup and rate limits, three isolation scopes, and a retrieval hierarchy that ranks topics, decays by recency, and never truncates silently.
Dense embeddings find paraphrases; full-text finds exact terms. How to run both legs concurrently and fuse their rankings with RRF — a simple formula that consistently beats either leg alone.