Create an AI Chatbot with Document-Based RAG and Cohere Reranking
Develop an intelligent AI chatbot that uses Retrieval-Augmented Generation and Cohere's reranking to provide accurate responses based on your documents.
This workflow is designed for developers and businesses looking to build advanced AI chatbots capable of answering questions using their own document repositories. It integrates with Google Drive to extract and vectorize documents, uses Supabase for vector storage, and employs OpenAI for generating responses. Cohere's reranking ensures the most relevant information is prioritized, enhancing the chatbot's accuracy and reliability.
- Platform
- n8n
- Category
- AI
- Price
- $14.99
- Creator
- Sofia Martinez
- stickyNote
- googleDrive
- manualTrigger
- agent
- extractFromFile
- chatTrigger
- lmChatOpenAi
- rerankerCohere
- embeddingsOpenAi
- memoryBufferWindow
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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