https://github.com/ahmedennaifer/colrag
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
https://github.com/ahmedennaifer/colrag
agents aws bedrock docker ec2 fastapi generative-ai haystack-ai postgresql rag s3 terraform
Last synced: 4 months ago
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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
- Host: GitHub
- URL: https://github.com/ahmedennaifer/colrag
- Owner: ahmedennaifer
- Created: 2025-01-06T19:36:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-06T21:06:47.000Z (over 1 year ago)
- Last Synced: 2025-06-13T05:44:18.343Z (12 months ago)
- Topics: agents, aws, bedrock, docker, ec2, fastapi, generative-ai, haystack-ai, postgresql, rag, s3, terraform
- Language: Python
- Homepage:
- Size: 1.67 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Projet Annuel - ESGI
**Plateforme RAG all-in-one**
*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