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

Part 1: Parsing, chunking, and vectorization Some time ago, we set out to build the best semantic code search platform we could: a RAG pipeline that gives LLM agents precise, citable evidence from real repositories instead of whatever grep happens to surface. The eventual solution was Air Context. We got it working, we got it…