Chat with your data app

upload your data source and chat with your data such as asking questions or providing information.

Features

• user upload data source (doc_name, document, vector_collection, embeddings, created_at)
• user can chat with its data
• user has vector document for every source
• user can ask question about the content of a specific document (e.g., what is this article about?)
• AI respond on him/her
• save chat history in database
• generate report based on chat history

Installation

• Clone the PR

• Create Python ENV

  • python3 -m venv env_name
  • source env_name/bin/activate
  • pip install -r requirements.txt
  • Add .env file with your secret keys

• Run project

  • Run: uvicorn main:app --host 0.0.0.0 --port 8000 --reload

API Documentation

• Local Docs

Tech Stack:

• Python 3.10+
• FastAPI
• Langchain
• OpenAI - GPT3 Or GPT4
• MongoDB
• Milvus (vector db)
• uvicorn

ENV Keys

• MONGO_URI="xxxxxxxx"
• SECRET_KEY="xxxxxxxx"
• ALGORITHM="xxxxxxxx"
• ACCESS_TOKEN_EXPIRE_DAYS="xxxxxxxx"
• GOOGLE_API_KEY="xxxxxxxx"
• OPENAI_API_KEY="xxxxxxxx"
• MILVUS_URI="xxxxxxxx"
• MILVUS_PORT="xxxxxxxx"
• MILVUS_USER="xxxxxxxx"
• MILVUS_PASSWORD="xxxxxxxx"
• .....