We tried vectors, ASTs, and brute-force context stuffing for code retrieval. Graphs with LLM-generated semantics worked best. Here's what we learned.

We spent the last year building a code indexing system and tried pretty much every retrieval approach along the way. Sharing what actually worked and what didn't because the discourse around "just use embeddings" or "jus