AI Powered Q&A Webhook
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A webhook-enabled AI system that answers questions based on a provided document.
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About This Workflow
Overview
This workflow sets up an AI-powered question answering system that integrates with a webhook. It fetches a document from Google Drive, processes it, stores it in a vector database (Qdrant), and then uses an LLM (OpenAI) to answer user queries received via the webhook.
Key Features
- Webhook integration for receiving questions.
- Document retrieval from Google Drive.
- Text splitting and embedding for efficient storage.
- Qdrant vector store for semantic search.
- OpenAI LLM for generating answers.
- Responds to webhook with the generated answer.
How To Use
- Configure Google Drive credentials to access your PDF document.
- Set up Qdrant Vector Store credentials and specify a collection name.
- Configure OpenAI API credentials.
- Ensure the
crowdstrike.pdffile ID in the Google Drive node is correct. - Deploy the webhook and send POST requests with a JSON body containing the user's question (e.g.,
{"input": "Your question here"}).
Apps Used
Workflow JSON
{
"id": "0151f83d-de64-417c-8bde-074b7bf53e25",
"name": "AI Powered Q&A Webhook",
"nodes": 0,
"category": "AI & Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 0151f83d-de64...
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