🤖 GenAI Toolkit: Advanced AI Applications with LangChain & Modern LLMs
A comprehensive demonstration of practical GenAI applications leveraging LangChain, Groq API, and Google's Gemini Pro. This project showcases multiple implementations of modern AI capabilities.
🔍 Key Features:
1. Off-Campus Application Generator
Automated skill set generation from job descriptions
Custom cover letter creation based on resume and job requirements
Built with LangChain & Groq API
Streamlined application process automation
2. Multi-RAG (Retrieval Augmented Generation) Agent
Integration of multiple knowledge sources:
• Wikipedia Retriever
• Arxiv Research Papers
• LangChain Documentation
Powered by Google's Gemini Pro
Advanced embedding using Google Generative AI
FAISS vector database for efficient information retrieval
3. Advanced RAG Implementation
Multiple document loading capabilities (Text, Web, PDF)
Vector database integration
Custom chat prompt templates
Comprehensive question-answering pipeline
4. Interactive Groq Chatbot
Streamlit-based user interface
Real-time document processing
Enhanced conversational capabilities
🛠️ Technologies Used:
LangChain Framework
Groq API
Google Gemini Pro
FAISS Vector Database
Streamlit
Google Generative AI
📚 GitHub Repository: github.com/Rag...
#GenAI #MachineLearning #LangChain #ArtificialIntelligence #LLM #RAG #Python
Feel free to reach out for questions!
7 окт 2024