CHATBOTS

Slack Slash Command to Search Across All Past Zoom Meetings

A Slack slash command that searches every indexed Zoom transcript at once and returns an answer synthesized across meetings, citing which call and timestamp each fact came from.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerchat
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSlack slash command with a questionSlack
  • ActionEmbed query and search all transcript chunksOpenAI
  • LogicDedupe and rank top cross-meeting sources
  • ActionSynthesize grounded answer with OpenAIOpenAI
  • OutputReply in Slack with cross-meeting citationsSlack

What it does

Gives the whole team one slash command to query the entire archive of recorded Zoom meetings, not just the latest one. Ask '/ask when did we agree to delay the launch?' and it searches across all transcripts, synthesizes an answer, and cites each source meeting and timestamp.

When to use it

When knowledge is scattered across months of calls and people can't remember which meeting something was decided in. Ideal for teams with many recurring meetings who treat recordings as an institutional memory and need cross-meeting recall on demand.

How it works

  1. 1New Zoom recordings continuously feed the index: each transcript is chunked and embedded as it completes.
  2. 2A teammate runs the Slack slash command with a question.
  3. 3The flow embeds the query and retrieves the top matching chunks across all meetings.
  4. 4A logic step deduplicates and ranks results, keeping the strongest sources.
  5. 5OpenAI synthesizes an answer grounded in those chunks, refusing when coverage is thin.
  6. 6The bot replies in Slack with the answer and a citation list of meeting names and timestamps.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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