Recipe Recommendation RAG Application – Initial Implementation & Improvements

This merge request introduces the initial implementation of a Recipe Recommendation system using Retrieval-Augmented Generation (RAG).

🚀 Changes Included: Built a Streamlit-based web application for recipe recommendations Integrated embedding model for converting recipe data into vector representations Set up vector database (ChromaDB) for efficient similarity search Implemented retrieval mechanism to fetch relevant recipes based on user input ingredients Connected LLM-based response generation for improved recipe suggestions Performed initial debugging to fix incorrect or irrelevant outputs 🧪 Testing: Verified basic ingredient-based search functionality Checked retrieval accuracy for sample inputs Performed local testing of Streamlit UI 📌 Notes: Further improvements planned for recommendation accuracy and prompt tuning Dataset cleaning and optimization will be enhanced in the next update Deployment setup will be added after stabilization