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Ask turns your transcripts into a conversation. It runs locally: retrieval and embeddings are on-device, and only your own model call (the Anthropic or OpenAI key you set for notes) leaves your machine. Answers stream in token-by-token.

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Two ways to ask

This meeting

The Ask tab on any session answers from that call’s transcript. Good for “how did I do?”, “what did I commit to?”, or any detail from the conversation.

All meetings

Ask across all meetings (from the dashboard header) searches your whole history and cites the sessions it drew from. Click a source to open it.
Ask reads the transcript and talks it through with you — sentiment, what landed, what you may have missed — and answers direct factual questions from what was actually said. It won’t invent names, numbers, or dates that aren’t in the transcript; if something isn’t there, it says so. Follow-ups build on earlier turns. Long chats keep their context: older turns are folded into a running summary (never dropped) so the thread stays coherent without exceeding the model’s context window.

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Saved conversations

  • Per meeting: each session keeps a single Ask chat, restored when you reopen it.
  • Across all meetings: keep as many chats as you want — New chat, switch, rename, or delete from the sidebar. Each is auto-titled from your first question and saved locally.
Answers stream as they generate, and the input stays pinned to the bottom like a normal chat. If you navigate away mid-answer, the turn isn’t lost — generation finishes in the background and the full answer is saved.

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How retrieval works (across all meetings)

1

Index (on-device)

Every session’s transcript is chunked and embedded locally with Xenova/all-MiniLM-L6-v2. New sessions are indexed automatically; older ones are backfilled the first time you open Ask.
2

Match

Your question is embedded and ranked against the chunks by cosine similarity.
3

Answer

The top matches (within a token budget) plus recent conversation go to your model, which answers with inline citations like [1].
The per-meeting Ask tab skips retrieval — a single call’s transcript usually fits, so it’s fed directly for the most accurate read.

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Privacy

Chunks, embeddings, and saved chats live in SQLite on your machine. There is no Raven server and no cross-account sync. Deleting a session also removes its transcript chunks and its Ask chat.