What inputs does the Meeting Knowledge Base workflow use?

The workflow uses Transcript, Query. Required fields and their expected formats are listed on this page.

What resources are included in the Meeting Knowledge Base blueprint?

The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.

All blueprints Search & Knowledge AI workflow blueprint

AI Meeting Knowledge Base workflow blueprint

Upload meeting recordings/transcripts, search decisions and action items by topic

See where this blueprint fits in the production workflow lifecycle

RAG

Meetings

Knowledge Base

Request access

Pattern

Dag

Agents

2

Functions

0

MCP servers

0

Inputs for the Meeting Knowledge Base workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

Transcript
Required
Meeting transcript or recording URL
Type: String
Query
Required
Search query about past meetings
Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "transcript": "<required string>",
  "query": "<required string>"
}

How the Meeting Knowledge Base AI workflow works

This search & knowledge blueprint uses a dag workflow with 2 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

Transcript Processor
Agent using Transcript Processor
Meeting Search
Agent using Meeting Search

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Transcript Processor

Process meeting transcripts, extract decisions, action items, and key discussion points with speaker attribution.

AI agent

Meeting Search

Search indexed meeting content and return relevant decisions, action items, and context with timestamps.

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Frequently asked questions

What does the Meeting Knowledge Base blueprint do?: Upload meeting recordings/transcripts, search decisions and action items by topic
What inputs does the Meeting Knowledge Base workflow use?: The workflow uses Transcript, Query. Required fields and their expected formats are listed on this page.
What resources are included in the Meeting Knowledge Base blueprint?: The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Meeting Knowledge Base blueprint in GraphN?: This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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