shreshthgoyal / Eureka

AI Powered Data Query Interface

AI Data Query Interface

This project aims to create an AI-powered query interface that allows users to efficiently access and understand client data stored in internal databases using a user-friendly chat interface.

Run Locally

Clone the project

$ python3 -m venv venv
$ source venv/bin/activate
$ python -m pip install -r requirements.txt
$ sh entrypoint.sh     # For API : It will start at 8000 port.
$ streamlit run app.py # For UI : It will start at 8015 port.

or you can just start it up with docker

$ docker-compose build
$ docker-compose up  # The API will be live on port 3015

API Reference

Get 200 OK Response

  GET /healthcheck

Parameter	Type	Description
api_key	string	Required. Your API key

Get answer to the query

  POST /search

Parameter	Type	Description
input	string	Required. Query For Entire Database

  POST /message

Create a session for chat

Parameter	Type	Description
document_title	string	Required. Document Title

  POST /message

Get chat responses

Parameter	Type	Description
session_id	string	Required. Session ID for chat
query	string	Required. Query For Chat

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

FIREWORKS_API_KEY

COHERE_API_KEY

Authors

• @shreshthgoyal
• @mounicasruthi
• @rish78