Skip to content

The objective was to build a retrieval augmented generation (RAG) application with the MongoDB Chatbot Framework and witness the power of MongoDB Atlas together with the OpenAI API.

Notifications You must be signed in to change notification settings

Noospheracr/Wilco-MongoDB-RAG-Chatbot

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Welcome to the Anythink Market repo (powered by Wilco)

To start the app1 use Docker. It will start both frontend and backend, including all the relevant dependencies, and the db.

Please find more info about each part in the relevant Readme file (frontend and backend).

Development

When implementing a new feature or fixing a bug, please create a new pull request against main from a feature/bug branch and add @vanessa-cooper as reviewer.

How to run in dev mode?

Using Codespace

  1. run docker compose up

On your local machine

  1. Install Docker
  2. Install Docker Compose
  3. Run docker compose up.

About

The objective was to build a retrieval augmented generation (RAG) application with the MongoDB Chatbot Framework and witness the power of MongoDB Atlas together with the OpenAI API.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 81.8%
  • TypeScript 11.0%
  • HTML 2.9%
  • Shell 2.0%
  • CSS 1.6%
  • Dockerfile 0.7%