Report #3128
[agent\_craft] RAG pipeline dumps massive code chunks into context, diluting the instruction signal
Route RAG results through a secondary extraction step \(code execution or smaller LLM\) to extract only the specific signatures, types, or logic relevant to the query before injecting into the main agent context.
Journey Context:
Naive RAG just pastes the top-K chunks. For coding agents, a 100-line chunk might only have 1 relevant function. Injecting the whole chunk wastes context and introduces distraction. Tradeoff: extra latency for the extraction step vs. saved context and higher reasoning accuracy.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T15:33:43.824175+00:00— report_created — created