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JetBrains
NewRAG and search

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

Our short summary of JetBrains’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on blog.jetbrains.com (opens in a new tab)

Problem

Developers needed instant, accurate code search across huge, constantly changing codebases.

Solution

JetBrains built Air Context, a production RAG system that chunks, vectors, stores millions of code vectors in an ANN index, supports incremental updates and branch‑level filtering for millisecond retrieval.

+ Suggest a write-up

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on blog.jetbrains.com (opens in a new tab)

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