https://github.com/cosmic-heart/AI-Learning-Platform

AI-Learning-Platform, a LLM-RAG pipeline which behaves like a guide and able to solve doubts. Deployed on-premise IBM ppc64le architecture. vLLM for model inference & Qdrant with Langchain for RAG Pipeline. Server written in django, postgres & cassandra as the sql & nosql databases.
https://github.com/cosmic-heart/AI-Learning-Platform

cassandra django langchain llm postgresql ppc64le qdrant ray-distributed vllm

Last synced: about 2 months ago
JSON representation

AI-Learning-Platform, a LLM-RAG pipeline which behaves like a guide and able to solve doubts. Deployed on-premise IBM ppc64le architecture. vLLM for model inference & Qdrant with Langchain for RAG Pipeline. Server written in django, postgres & cassandra as the sql & nosql databases.

• Host: GitHub
• URL: https://github.com/cosmic-heart/AI-Learning-Platform
• Owner: NavinKumarMNK
• License: cc0-1.0
• Created: 2024-01-15T06:32:31.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-25T03:17:29.000Z (over 1 year ago)
• Last Synced: 2024-04-28T01:19:44.457Z (over 1 year ago)
• Topics: cassandra, django, langchain, llm, postgresql, ppc64le, qdrant, ray-distributed, vllm
• Language: Python
• Homepage: https://megnav.com/portfolio/ai-learning-platform
• Size: 428 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# AI-Learning Platform

[![Documentation Status](https://readthedocs.org/projects/ai-learning-platform/badge/?version=latest)](https://ai-learning-platform.readthedocs.io/en/latest/?badge=latest)

[![React.js Build and Release](https://github.com/NavinKumarMNK/AI-Learning-Platform/actions/workflows/front-end-release.yml/badge.svg)](https://github.com/NavinKumarMNK/AI-Learning-Platform/actions/workflows/front-end-release.yml)

![Project Image](/assets/project.png)

# Documentation 

- This project uses `mkdocs` as the documentation service

- serve the document 

```bash

pip install mkdocs

pip install markdown-include

pip install mkdocstrings

mkdocs serve -a localhost:8001

```