Building a RAG Pipeline for Semantic Code Search: A Developer Diary and Field Notes
Summary
JetBrains explains a RAG pipeline for semantic code search and the design decisions behind parsing, chunking, and vectorization. It covers language-aware chunking, vector storage considerations, metadata handling, and privacy safeguards, setting the stage for a multi-part series. The piece highlights practical takeaways for building scalable code search with LLMs.