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Chatbot for MongoDB powered by ChatGPT and Atlas Vector Search

License: Apache License 2.0

Shell 0.09% JavaScript 0.78% TypeScript 89.52% CSS 0.80% HTML 8.56% Dockerfile 0.25% MDX 0.01%

mongo-chatbot's Introduction

MongoDB AI Chatbot

The AI Chatbot is a full-stack retrieval augmented generation (RAG) application.

The chatbot uses the MongoDB documentation and Developer Center as its sources of truth.

The chatbot builds on the following technologies:

  • Atlas Vector Search: Indexes and queries content for use in project.
  • MongoDB Atlas: Persists conversations and content.
  • ChatGPT API: LLM to pre-process user queries and summarize responses to user queries.
  • OpenAI Embeddings API: Create vector embeddings for user queries and content. Used by Atlas Vector Search.

To learn more about how we built the chatbot, check out the MongoDB Developer Center blog post Taking RAG to Production with the MongoDB Documentation AI Chatbot.

API Schema

OpenAPI Schema of Chatbot API

Contributing

To learn how to get started contributing to the project, refer to the Contributor Guide

License

This project is licensed under the Apache 2.0 License.

mongo-chatbot's People

Contributors

admin-token-bot avatar cbush avatar jackyw2018 avatar mongodben avatar nlarew avatar

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