JetBrains details Air Context RAG semantic code search indexing

JetBrains shares lessons learned from building Air Context, a production-grade RAG system designed for semantic code search. The article details storage strategies, approximate nearest-neighbor search optimizations, incremental indexing methods using Merkle trees, local-device indexing, and post-retrieval reranking and agentic search tooling. Open article →