JetBrains shares RAG pipeline for semantic code search
JetBrains engineers detail building Air Context, a RAG pipeline for semantic code search, covering parsing, chunking and vectorization. Traditional grep and keyword search require agents to know exact text in advance and fail on abstract queries; the pipeline instead gives LLM agents precise, citable evidence from repositories, improving efficiency on large codebases.