Building a RAG Pipeline for Semantic Code Search: A Developer Diary and Field Notes - The JetBrains Blog
Summary
JetBrains describes how it built Air Context, a semantic code search platform for agentic software development. The post explains the RAG pipeline from parsing and chunking source code to vectorization and binary quantization. It also discusses storage trade-offs, query embedding, path handling, and privacy protections for customer code. The company says Air Context is already in public preview and included with JetBrains licenses.
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