search-lossless-corpus

To search internal decision history and past Claude Code sessions, use a structured corpus search across dedicated Chroma collections. This retrieves verifiable answers with source citations from records like changelogs and tool traces, avoiding stale training data.

Yes, you can retrieve exact architectural decisions from a local Chroma database. The search queries internal session records and enforces source citations for every claim, allowing you to verify the original context, timestamps, and repo slug in seconds.

The best way to find shipped features and recurring tool failures is querying curated internal changelog and tool trace collections. This method applies a multi-collection search with a strict query budget to extract precise, verified answers from actual development records.

Yes, corpus search enforces a strict 5-query budget per question. This structured search loop limits resource waste by decomposing, executing, evaluating, and synthesizing queries efficiently against the Chroma database.

Agent knowledge retrieval ensures verifiability by mandating source citations for all synthesized claims. Every extracted answer is tied to a verifiable source path, timestamp, or repo slug from internal records rather than relying on generated training data.

You need to search a lossless corpus when querying specific past team decisions, shipping timelines, or internal conventions that require verifiable proof. It replaces generic, unverified training data responses with citable records from actual development sessions.