Create an AI Chatbot with PDF-Based RAG System Using OpenAI, Pinecone, and Cohere

Build an AI chatbot that answers questions using content from PDF documents with a Retrieval-Augmented Generation (RAG) system. Integrate OpenAI, Pinecone, and Cohere for enhanced performance.

This workflow leverages a powerful combination of OpenAI, Pinecone, and Cohere to create a sophisticated AI chatbot capable of answering questions based on the content of uploaded PDF documents. The system operates in two main stages: data ingestion and indexing, followed by conversational AI interaction. Users can upload PDFs to populate a knowledge base, which is then queried by the chatbot to provide context-aware responses. This setup is ideal for creating a dynamic and responsive AI assista
Platform
n8n
Category
AI
Price
$9.99
Creator
Chloe Dubois

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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