Multi_Query_RAG_Agent

About this automation

An advanced, Langchain-powered conversational AI agent built in n8n. This workflow employs a sophisticated Retrieval-Augmented Generation (RAG) pattern to ensure accurate, contextually relevant responses derived strictly from your internal vector database.

How to Use This Repository

This is a community-contributed repository for n8n. To use these workflows:

  1. Clone the repository to your local machine:
    git clone https://github.com/hamza8481/Multi_Query_RAG_Agent
  2. Explore the repository for .json or documentation files.
  3. Follow the repository's internal README for specific setup instructions.