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

JetBrains released Context, a production‑grade RAG pipeline that indexes code semantics for agents to retrieve relevant snippets via free‑text queries. The blog details parsing, chunking, vectorization, and lessons learned from scaling the system, noting that traditional grep searches miss meaning‑based matches.