Integrate Custom Knowledge into AI Agents Using RAG and OpenAI - n8n Workflow | Neura Market
Integrate Custom Knowledge into AI Agents Using RAG and OpenAI
This workflow demonstrates how to integrate custom knowledge into AI agents using Retrieval-Augmented Generation (RAG) with OpenAI in n8n. Upload your documents to create a knowledge base that enhances your AI's capabilities.
This workflow allows users to upload documents, such as PDFs or CSVs, to create a custom knowledge base using vector stores. The knowledge is then used to enhance AI agents' responses by providing contextually relevant information. The workflow includes nodes for uploading files, embedding data with OpenAI, and querying the knowledge base to retrieve information during chat interactions.
Platform
n8n
Category
AI
Price
Free
Creator
Owen MacLeod
stickyNote
formTrigger
agent
chatTrigger
lmChatOpenAi
embeddingsOpenAi
vectorStoreInMemory
documentDefaultDataLoader
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.