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AI Agents

Example of answering questions using data retrieved from a subworkflow

5 nodes 627 187 Automatic trigger
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Workflow Description

An automated workflow that combines reliable information retrieval with advanced language processing chains, enabling the system to answer inquiries accurately based on specific sources using OpenAI models for intelligent response generation.

How it works

  1. 1.Trigger the workflow manually when needed
  2. 2.Retrieve relevant information from designated repositories
  3. 3.Process the query and generate accurate answers through language models
  4. 4.Save results and associated data
  5. 5.Record additional notes for follow-up

Use cases

  • Answer customer questions based on a defined knowledge base
  • Power intelligent chatbots that require accurate, sourced responses

Requirements

  • Valid API key from OpenAI
  • An organized knowledge base or structured data repository for retrieval

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Manual Trigger Retriever LLM Chain OpenAI Set

Details

Trigger Automatic trigger
Nodes 5
Apps 5
Views 627
Downloads 187

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (5)

When clicking "Execute Workflow"

Manual Trigger

#1

Workflow Retriever

Retriever Workflow

#2

Retrieval QA Chain2

Chain Retrieval Qa

#3

OpenAI Chat Model

OpenAI

#4

Example Prompt

Set

#5

Sticky Note

Sticky Note

#6

Sticky Note1

Sticky Note

#7
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