Advanced RAG Hackathon

Start

by Simon Olson, Co-Founder of New Native 

Hackathon Kick Off - Lablab.ai Introduction

by Ofer Mendelevitch, Head of Developer Relations

Vectara Opening Words

Together Opening Words

LlamaIndex Opening Words

by Chris Maddock, Head of Product Marketing 

Unstructured Opening Words

Tonic Opening Words

General Q&A session on Discord

Tools for building UI for AI

Advanced RAG workshop

We help you prepare better for exams , and make content easy for you to learn

Edulance

Bhaswata Choudhury

PRANJAL KAR

samunder singh

Edulance is an open-source project that utilizes advanced technologies such as Unstructured, machine learning models, and APIs to transform text documents and PDFs into interactive educational resources. The software accepts user-uploaded files, applies optical character recognition (OCR) for text documents, or extracts valuable content from PDFs. It then generates lessons, quizzes, and lesson plans based on the content using its Lesson Graph model and agents like LessonGenerator, LessonPlanner, OCRAgent, PdfAgent, QuizAgent, and TogetherLLM. Edulance provides an immersive learning experience, enabling effective teaching and interactive knowledge acquisition.

Overall this project incorporates the following:

TogetherAI's LLM Models
Unstructured Partition pdf for making PDFs LLM Ready
Agentic AI with state management.
Features
Feature	Description
⚙️	Architecture	Edulance is a Python-based project using FastAPI as the web framework and Uvicorn for runtime serving. The application leverages containers with Docker for deployment, installing required dependencies from requirements.txt. It utilizes libraries like LangChain, PikePDF, PyTesseract for OCR, and TogetherAI's LLM models.
🔩	Code Quality	The codebase follows a modular structure with clearly defined agents and graph files, ensuring high cohesion and low coupling. Python style guides are followed consistently, including PEP8 and PEP534. There is adequate usage of comments throughout the codebase.🔌	Integrations	Key integrations include Docker for deployment, LangChain libraries, TogetherAI's LLM models, Vectara for Chat.
🧩	Modularity	
📦	Dependencies	Main dependencies include FastAPI, Docker, Python 3.10, requirements.txt, LangChain package, PikePDF, PyTesseract, and related tools.


Edulance: Open-source tool using ML, OCR, and APIs to convert text/PDFs into interactive educational content, creating lessons, quizzes, and plans.

"Edulance team on Advanced RAG Hackathon Hackathon"

Team Idea

Submission