MongoDB-RAG-Vercel
This starter template implements a Retrieval-Augmented Generation (RAG) chatbot using LangChain and MongoDB Atlas. RAG combines AI language generation with knowledge retrieval for more informative responses. LangChain simplifies building the chatbot logic, while MongoDB Atlas' Vector database capability provides a powerful platform for storing and searching the knowledge base that fuels the chatbot's responses.
Key features:
- RAG Implementation: Combines language generation with knowledge retrieval.
- LangChain: Simplifies chatbot logic.
- MongoDB Atlas: Provides a platform for storing and searching the knowledge base.
- Vercel Deployment: Easy deployment using Vercel.
Use Cases:
- Building AI-powered chatbots.
- Creating knowledge retrieval systems.
- Implementing question answering systems.
- Developing AI language generation applications.
