/embedchain-demo

POCs around embedchain for QA around PDF/text files

MIT LicenseMIT

embedchain-demo

POCs around embedchain for QA around PDF/text files

Full Stack Chat Application with embedchain Integration

Overview

This chat application is a full stack solution that leverages the power of the embedchain Python package. Built using Flask for the backend and Next.js for the frontend, it provides an interactive user-bot chat experience. Users can upload PDF and text files, which are integrated into the embedchain bot as data sources.

Key Features

  • File Upload: Users can upload PDF and text files to integrate them as data sources for the bot.
  • embedchain Integration: Files are automatically integrated into the embedchain bot using the .add() method.
  • User-Bot Chat: Engage in real-time chat with the bot, querying the data sources using the .query() functionality.

In-progress