LangChain RAG Agent
Retrieval-Augmented Generation agent built with LangChain for document Q&A.
PythonLangChainadvanced
langchainragvector-dbqa
Last updated on January 12, 2024
About This Example
This Python example demonstrates how to build langchain rag agentusing the LangChain framework. It showcases best practices for AI agent development and provides a solid foundation for your own projects.
Key Features
- Implementation of langchain functionality
- Implementation of rag functionality
- Implementation of vector db functionality
- Implementation of qa functionality
Getting Started
To get started with this example, visit the GitHub repository linked above. The repository contains detailed setup instructions, code examples, and documentation to help you understand and implement this agent pattern.
Difficulty Level: advanced
This example is rated as advanced difficulty.Recommended for experienced developers familiar with AI frameworks.