ask · git:20260814.5023d8c · 2026-08-14 · sha256 877e9e6582c1f101
ask git:20260814.5023d8cB
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--- name: ask description: > Ask the second brain in plain words — semantic search over the curated knowledge vault (embeddings + reranker), not a full-corpus dump. Trigger on "/ask <question>", "what do I have on <topic>", "what did I write about X". Token-cheap: RAG retrieves the smallest relevant slice, the LLM only synthesizes the top hits. license: MIT --- # /ask — query the Second Brain > 🧒 **When reporting to Anton:** end with a child-simple "Простыми словами" recap. Deterministic-first (Anton's token law): RAG retrieves the smallest relevant slice; synthesize ONLY that — never dump the corpus. **Wrong lane?** /ask = semantic MEANING over the curated vault. For exact WORDS inside chats → `/search`; an exact PERSON name → `/find`; a CHAT by name → `/chat` (all 0 tokens, deterministic). Use those when the question isn't conceptual. ## 🖥️ Визуальный поиск (живой сервер — Антон работает глазами) Для интерактивного поиска глазами: `python "$IMPORTS_ROOT/ask_server.py"` (или `start_ask.bat`) → открой `http://127.0.0.1:8770`. Грузит e5+reranker ОДИН раз, дальше каждый запрос ~3с. Поле поиска + чипы-фильтры (только моё / концепты / инсайты / лиды / люди / разговоры / заметки), карточки с rerank-скором, типом, датой и ⏳-флагом свежести. По умолчанию CPU (не дерётся с GPU-флотом, держит 0 VRAM); `--gpu` если GPU свободен. Это GUI для самого Антона; `--ask` ниже — для синтеза ответа мной в чате. ## Run (CLI — для синтеза ответа в чате) `python "$IMPORTS_ROOT/brain_ask.py" "<question>"` Scope with filters (cheaper + sharper): - `--anton` (only Anton's own writing) · `--concepts` (distilled "что я думаю о X") · `--insights` - `--person <name>` · `--conv` (conversations) · `--leads` (CRM) Returns top-K chunks (chunked + tagged + edit-aware index); may flag `⚠ STALE` on volatile facts >90d. ## Answer - Synthesize the returned hits into a DIRECT answer; **cite the note titles** so Anton can open them. - If a hit is `⚠ STALE`, say so and offer to re-verify (per the epistemic-decay layer). - If retrieval is thin/irrelevant → say so, suggest a sharper query or a filter; do NOT pad with guesses. - Keep it tight; end with 🧒 recap. ## Note The index is kept fresh by the reindex routine. If results feel stale right after a big import, mention a reindex may be due (`brain_embed_update.py`) — but don't reindex unprompted.