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Turn Your Meetings into a Searchable Knowledge Base

Transcripts are where information goes to be forgotten. The real value shows up when every meeting becomes something you can ask questions of. Here is how cross-meeting memory works and why it changes how teams operate.

Recording a meeting solves the "I wasn't there" problem. But it creates a new one: now you have hundreds of hours of transcripts, and finding the one sentence you need is worse than not having it at all. The fix isn't more recordings — it's making them askable.

From transcript to memory

A transcript is a linear artifact: it's only useful if you already know which meeting to open and roughly where to scroll. Memory is different. After each meeting, Huddix extracts the durable facts — decisions, commitments, definitions, preferences — and stores them as semantic vector embeddings alongside the raw transcript.

That means the system understands meaning, not just keywords. Ask "what's our position on discounting for enterprise deals?" and it finds the relevant discussion even if nobody used the word "discounting."

How retrieval works

Under the hood, this is a retrieval-augmented generation (RAG) system:

  1. Your question is converted into an embedding vector.
  2. We search across your meeting memory for the most semantically similar passages, using a vector index built on pgvector.
  3. The most relevant passages are handed to the language model as grounded context.
  4. The model answers only from that context — and cites the meetings it used.

Citations are the critical part. An answer you can't verify is a rumor. Every response links back to the source meeting, speaker, and timestamp, so you can confirm it in one click.

What this feels like in practice

Instead of "which of the last twelve calls mentioned the migration deadline?", you ask a question and get an answer with receipts:

"What did Maya commit to on the Q4 launch?" → a direct answer, plus the exact moment in the Oct 3 planning call where she said it.

Multi-turn conversations work too, so you can drill in: ask a follow-up and the system keeps the thread, pulling new sources as needed.

Why it compounds

The first meeting you record is just a recording. By the fiftieth, you have an institutional memory that outlasts any single person's recall — onboarding context, past decisions, and the reasoning behind them, all searchable in plain language. Teams stop re-litigating settled questions because the answer, and its rationale, is always retrievable.

Privacy stays intact

Your memory is yours. Row-level security ensures answers only ever draw from your own meetings, embeddings are stored encrypted, and you can export or delete everything at any time.

Start building your memory

Every meeting you record from today forward becomes part of a knowledge base you can question in natural language. Start free and watch the answers get richer with every call.