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
1a0ecd0b-8f44-4e88-aa57-bcc89cf161e1
Price
Free
Rating
4.1 out of 5 (322 reviews)
Downloads
42
Creator
Chloe Dubois
stickyNote
formTrigger
agent
chatTrigger
lmChatOpenAi
rerankerCohere
embeddingsOpenAi
memoryBufferWindow
vectorStorePinecone
documentDefaultDataLoader
Create an AI Chatbot with PDF-Based RAG System Using OpenAI, Pinecone, and Cohere - n8n Workflow | Neura Market | Neura Market