Make integration for RAG workflows

Connect Biel.ai to your Make scenarios to add intelligent document retrieval and question-answering capabilities. Use your indexed documentation as a knowledge base for chatbots, support automation, and custom AI workflows.

This integration enables Retrieval-Augmented Generation (RAG) in Make, allowing your automations to search and cite your documentation when answering questions or processing requests.

What you can build

Common use cases for Biel.ai in Make scenarios:

• Support chatbots: Answer customer questions using your documentation
• Slack/Teams bots: Provide instant answers from your knowledge base
• Email automation: Generate responses with context from your docs
• Internal tools: Build custom AI assistants for your team
• Content generation: Pull relevant documentation for blog posts or guides
• API documentation bots: Help developers find API information quickly

API Access Required

This integration requires API access, which is available on Professional, Business, and Enterprise plans. Upgrade your plan to get started.

Prerequisites

Before starting, ensure you have:

• Biel.ai account with documentation indexed (create account)
• Professional, Business, or Enterprise plan for API access
• Make account (free or paid)
• Project ID from your Biel.ai dashboard
• API key from your team settings

Setup: Get AI-powered answers

This scenario uses Biel.ai's chat endpoint to get AI-generated answers with citations from your documentation.

1. Create a new scenario

In Make, create a new scenario and add the following modules:

1. Trigger module (e.g., Webhook, Custom webhook, Slack)
2. HTTP module to query Biel.ai
3. Response module to return results

2. Configure the HTTP module

Add an HTTP > Make a request module with these settings:

URL: https://app.biel.ai/api/v1/projects/YOUR_PROJECT_ID/chat/

Replace YOUR_PROJECT_ID with your project ID from the Biel.ai dashboard.

Method: POST

Headers:

Key	Value
Content-Type	application/json
Authorization	Api-Key YOUR_API_KEY

Replace YOUR_API_KEY with your API key from your Biel.ai team settings.

Body:

{
  "messages": [
    {
      "role": "user",
      "content": "{{1.question}}"
    }
  ]
}

Replace {{1.question}} with the appropriate variable from your trigger module.

For complete API documentation, see Biel.ai REST API.

3. Process the response

The chat API returns a structured response:

{
  "answer": "AI-generated answer based on your documentation...",
  "sources": [
    {
      "title": "Source page title",
      "url": "https://docs.example.com/source",
      "content": "Relevant excerpt..."
    }
  ],
  "chat_uuid": "unique-conversation-id"
}

Use the returned data in subsequent modules:

• {{2.answer}} - The AI-generated answer
• {{2.sources}} - Array of source documents with citations
• {{2.chat_uuid}} - Conversation ID for multi-turn chats

4. Continue the conversation (optional)

To maintain context in multi-turn conversations, include the chat_uuid in your request body:

{
  "messages": [
    {
      "role": "user",
      "content": "{{1.question}}"
    }
  ],
  "chat_uuid": "{{2.chat_uuid}}"
}

Need help? Contact us to discuss your scenario.