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.

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