Claw chat (RAG)¶

Claw is the chat interface on the left sidebar of the Claw page. Ask a free-form question — in English or Chinese — and Claw answers by retrieving your own past signals and synthesising them with Claude Sonnet 4.6.

The retrieval pipeline¶

Your question
    │
    ├────── dense search ──────► ChromaDB
    │       (paraphrase-multilingual embeddings)
    │
    └────── BM25 keyword search ──► Postgres tsvector
            (summary_en + summary_zh + tickers)
                                             │
                                             ▼
              Reciprocal Rank Fusion (RRF, k=60)
                         │
                         ▼
         top-6 fused signals, RLS-filtered to yours
                         │
                         ▼
        prompt assembly → Claude Sonnet 4.6 → answer
                         │
                         ▼
               Row written to rag_query_logs

What gets retrieved¶

Only your own signals. Both dense and lexical paths enforce user isolation — Chroma via a where={"user_id": ...} metadata filter, Postgres via the same RLS policy that protects the dashboard. You cannot accidentally query another user's history.
Fused, not concatenated. Dense retrieval catches semantic paraphrases (a Chinese question finding an English signal, or "supply chain" matching "downstream manufacturers"). BM25 catches exact tickers and names that dense embeddings can miss. RRF merges the two ranked lists with no need to calibrate their very different score scales.
Bilingual. The embedder (paraphrase-multilingual-MiniLM-L12-v2, 384-dim) puts English and Chinese summaries into the same semantic space, so a query in either language retrieves both languages' content.

What the answer looks like¶

Claw is prompted to:

Cite facts it uses with bracketed numbers [1], [2] keyed to the retrieved signals.
Reply in the same language as the question.
Say "the signals don't support that" when the retrieval didn't yield anything relevant — no hallucinated specifics.
Stay under ~250 words unless the question requires a list.

Every call is logged to rag_query_logs with:

The query text and the answer
The list of retrieved signal ids
Top-1 cosine similarity (useful as a retrieval-quality proxy — below 0.30 usually means the question was out of scope)
Model name and latency

When Claw is most useful¶

"Why did NVDA drop today?" — pulls your recent NVDA-tagged signals and synthesises a why-narrative.
"Summarise this week's FLASH signals" — retrieves all FLASH-tier signals in the window and returns a roll-up.
"What's the Chinese semiconductor policy situation?" — exactly the kind of multi-signal, multi-agent aggregation that a single card can't convey.
"最近 AI 芯片需求方面有什么信号?" — full Chinese round-trip works.

When it's not¶

Current price / quote. Claw reads signals, not live market data. Use the dashboard's index bar or stock card.
Cross-user aggregation. RLS hides everyone else's signals from your session — Claw has no "global" view.
Advice. Claw refuses to pretend to be a licensed advisor.