🤖 GenAI Toolkit

A comprehensive collection of Generative AI implementations using LangChain, Groq, and Google Gemini Pro

🎯 Project Overview

This repository showcases various implementations of Generative AI applications using modern frameworks and models. From job application generators to multi-RAG agents, this toolkit demonstrates the practical applications of AI in solving real-world problems.

🎥 Demo Video

✨ Key Features

📝 Off-Campus Application Generator

• Generates tailored skill sets based on job descriptions
• Creates custom cover letters using job descriptions and resumes
• Built with LangChain and Groq API
• Frontend: client.py, Backend: api.py

🔍 Multi-RAG Agent

• Implements multiple retrieval tools:
  • 📚 Wikipedia Retriever
  • 📖 Arxiv Retriever
  • 🌐 Custom LangChain Documentation Retriever
• Powered by Google's Gemini Pro
• Uses Google Generative AI embeddings
• FAISS vector database integration

📊 Advanced RAG Implementation

• Comprehensive RAG pipeline demonstration
• Multiple loader implementations:
  • Text-based loader
  • Web-based loader
  • PDF loader
• Vector database integration (FAISS)
• Custom chat prompt templates

💬 Groq Chatbot

• Streamlit-based interactive interface
• Web-based document loader
• LangChain documentation integration

🛠️ Setup Instructions

1. Create and activate a Conda environment

conda create -n chat_assist python=3.10 anaconda
conda activate chat_assist

2. Install dependencies

pip install -r requirements.txt

3. Configure Environment Variables

LANGCHAIN_API_KEY=xxx
LANGCHAIN_PROJECT=ProjectName
GOOGLE_API_KEY=xxx
GROQ_API_KEY=xxx

📁 Project Structure

.
├── api/
│   ├── api.py          # Backend implementation
│   └── client.py       # Frontend implementation
├── agents.py           # Multi-RAG agent implementation
├── rag/
│   └── advanced_rag.ipynb  # RAG pipeline demonstration
├── groq/               # Groq-specific implementations
└── requirements.txt

🔧 Technologies Used

• LangChain Framework
• Groq API
• Google Gemini Pro
• FAISS and ChromaDB Vector Database
• Streamlit
• Google Generative AI
• Wikipedia Wrapper by Langchain
• Arxiv API Wrapper by Langchain