What inputs does the Multi-Source Research Assistant workflow use?

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

What resources are included in the Multi-Source Research Assistant 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 Multi-Source Research Assistant workflow blueprint

Pull insights from PDFs, spreadsheets, and web pages into one cohesive briefing

See where this blueprint fits in the production workflow lifecycle

RAG

Research

Multi Source

Briefing

Request access

Pattern

Dag

Agents

2

Functions

0

MCP servers

0

Inputs for the Multi-Source Research Assistant workflow

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

Sources
Required
List of source URLs or file references
Type: String
Question
Required
Research question
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.

{
  "sources": "<required string>",
  "question": "<required string>"
}

How the Multi-Source Research Assistant 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.

Source Ingester
Agent using Source Ingester
Research Synthesizer
Agent using Research Synthesizer

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

Source Ingester

Ingest and normalize content from PDFs, spreadsheets, and web pages into a unified format.

AI agent

Research Synthesizer

Analyze ingested sources, identify key themes, and produce a cohesive briefing with citations.

Workflow output contract

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

Synthesizer

Frequently asked questions

What does the Multi-Source Research Assistant blueprint do?: Pull insights from PDFs, spreadsheets, and web pages into one cohesive briefing
What inputs does the Multi-Source Research Assistant workflow use?: The workflow uses Sources, Question. Required fields and their expected formats are listed on this page.
What resources are included in the Multi-Source Research Assistant blueprint?: The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Multi-Source Research Assistant 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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