Nutrition Consultant - Production RAG System
Built a complete Retrieval-Augmented Generation pipeline from scratch during a rigorous 7+ hours workshop across 2 days by Vizuara Technologies. Covered data ingestion, chunking strategies, embeddings, vector databases, evaluation metrics, and deployment. This Nutrition Consultant web app is powered by the open-access textbook 'Human Nutrition: 2020 Edition' from University of Hawai'i at Mānoa, demonstrating production-ready RAG capabilities.
Key Learnings
Building a production-ready RAG system is not a 30-minute tutorial or quick copy-paste job. It's about making the right decisions at every stage - data ingestion, chunking, embeddings, evaluation, and deployment. I learned when to use different chunking strategies (Fixed for logs/massive datasets, Semantic for legal/academic, Recursive for structured docs, Structure-based for FAQs, LLM-based for messy documents), how to evaluate RAG systems properly using RAGAS, and the importance of grounding answers in real-time data. Unlike short tutorials, this workshop went deep into every layer of building a real-world RAG pipeline.