Create a Smart Chat Assistant with OpenAI RAG in n8n

Create a Smart Chat Assistant with OpenAI RAG in n8n

Transform documents into engaging conversations with the Create a Smart Chat Assistant with OpenAI RAG workflow in n8n. Utilize cutting-edge Retrieval-Augmented Generation (RAG) technology to fetch precise answers to user queries using OpenAI's AI prowess, seamlessly integrated into n8n's automation framework.

What this workflow does

• Accepts multiple document uploads (PDF, CSV, or TXT) through an n8n form to initiate the chatting process.
• Efficiently extracts text from these files, preparing content for a robust indexing process.
• Generates OpenAI embeddings for the document content and stores them in n8n's in-memory vector store under a shared memory key.
• Provides a dynamic n8n chat interface for users to submit their questions.
• Leverages an OpenAI chat model-driven agent to query the in-memory vector store, fetching relevant document segments.
• Delivers concise and accurate responses within the chat interface, with clear disclaimers when information is not found in the documents provided.

Use cases

• Tech support teams can upload user manuals to quickly answer customer inquiries.
• HR departments can provide instant responses to employee questions by loading policy documents.
• Educators might use this workflow to allow students to query lecture notes and instantaneously resolve doubts.

Technical details

• Category: n8n automation workflow
• Tech stack/nodes used include: sticky note, form trigger, n8nn8n-nodes-langchainagent, n8nn8n-nodes-langchainchat trigger, n8nn8n-nodes-langchainlm chat open ai, n8nn8n-nodes-langchainembeddings open ai.
• OpenAI credentials are required for integrating and configuring the chat and embedding nodes.
• Documents need to be re-uploaded if there are any changes to the embedding model settings to ensure the vector store's accuracy.

Embed the future of intelligent document interaction today with this powerful n8n automation workflow and enhance your data-driven decision-making process.