RAG-Powered Document Chatbot with OpenAI & Gemini
AI-driven chatbot for natural language queries on multi-format documents (PDF, DOCX, XLSX, TXT) using RAG, OpenAI, and Gemini with multi-turn conversations and citations.
This workflow creates an advanced RAG-powered chatbot that processes and indexes various document formats like PDFs, Word docs, Excel spreadsheets, and text files. It intelligently chunks content, generates embeddings for storage in vector databases (e.g., Pinecone, Weaviate), and retrieves relevant sections to answer user queries accurately.
Key features include contextual understanding, human-like responses with source citations, multi-turn conversation history, and real-time processing. It i
- Platform
- n8n
- Category
- Finance
- Price
- $24.99
- Creator
- Jose Maurino
- RAG
- Chatbot
- OpenAI
- Gemini
- Document Processing
- Vector Database
- AI Chat
- Multi-Format
- Finance AI
- Retrieval Augmented
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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