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Projet Annuel - ESGI

Plateforme RAG all-in-one

Architecture: Architecture

Stack Technique:

  • 📺 Frontend : Quasar/vue.js
  • 🔌 Backend : FastAPI
  • 🏬 Database : PostgreSQL 16
  • 🧰 ORM : SQLAlchemy + alembic
  • 🧠 LLM : TBD
  • 🔌 LLM+RAG orchestration : Haystack-ai
  • ...

To run the app:

Requirements : Have docker installed : https://docs.docker.com/desktop/install/windows-install/ (windows)

  • clone the repo
  • cd into the repo
  • run : docker-compose build
  • run : docker-compose up
  • head to http://localhost:8000 or http://localhost:8000/docs for the swagger-ui

About

e2e Retrieval Augment Generation (RAG) social app, that lets users collaborate(query and index docs, reddit searches/comments and wiki articles) on public workspaces or private ones. Has multiple connectors for reddit, wikipedia, pdfs etc.. Deployed on AWS

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