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Building a RAG Pipeline for Semantic Code Search: A Developer Diary and Field Notes

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

Part 1: Parsing, chunking, and vectorization Some time ago, we set out to build the best semantic code search platform we could: a RAG pipeline that gives LLM agents precise, citable evidence from real repositories instead of whatever grep happens to surface. The eventual solution was JetBrains Con…

Read the full story at JetBrains AI Blog ↗

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  1. 2026-09-17 12:39 · JetBrains AI Blog
    Building a RAG Pipeline for Semantic Code Search: A Developer Diary and Field Notes

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