brain-query

name: brain-query description: Semantic two-tier retrieval over the personal brain at ~/brain/. Queries brain_wiki (synthesized pages) first, falls back to brain_raw (raw source chunks) if confidence is low, and always reports which layer answered with a confidence score. Use when the user says "/brain-query", "search the brain", "semantic search", or asks a factual question about Harsha, his clients, projects, or any topic covered by the brain where exact slugs aren't known.

brain-query

Two-tier retrieval + synthesis over ~/brain/.

Workflow

1. Run the query script via Bash (must cd into brain root for the package import to resolve):

   cd /Users/HAR5HA/brain && .venv/bin/python -m scripts.query "<question>" --k 5
   

2. Parse the JSON output. Important fields:

   • layer — "brain_wiki" or "brain_raw" — which collection answered.
   • provider and threshold — for reporting.
   • top_score — cosine similarity of the best result (0–1).
   • results[] — ordered by score. Each has source_rel, heading_path, chunk_idx, text (the chunk preview, possibly truncated to the token budget).
   • wiki_top_if_fallback — present only when layer == "brain_raw"; the nearest wiki misses, for transparency.

3. For each high-scoring result (top 2–3), Read the cited file (~/brain/<source_rel>) to get the full page — the preview is truncated to fit the token budget.

4. Synthesize an answer using only those sources. Cite the wiki slug when layer == "brain_wiki" (e.g. [[ghl-teli-integration-flow]]); cite raw/<filename> when layer == "brain_raw".

5. Always report which layer answered, verbatim on its own line:

   • Answered from: brain_wiki (score 0.82)
   • Answered from: brain_raw (score 0.71)

6. If layer == "brain_raw", offer to promote the answer into a wiki page via /wiki-ingest or /wiki-save so the next query hits the cheaper layer.

7. If top_score < 0.60 (both layers effectively missed), fall back to training memory and label the answer [NOT IN BRAIN — training data] on its own line.

8. Append a one-line entry to ~/brain/wiki/log.md:

   ## [YYYY-MM-DD] brain-query | <short question>
   Layer: brain_wiki|brain_raw  Score: 0.XX  Sources: <slugs or raw filenames>
   

Rules

• Do not bypass the script and Grep directly. The point is semantic retrieval.
• Do not override the --threshold unless the user asks — it's resolved per-provider in config.
• Respect the context budget; the script already trims previews. If the truncation hurts, the Read in step 3 fills the gap.
• If the script exits non-zero, report the error to the user — do not silently fall back to training data.