I Built a RAG System From Scratch in 4 Weeks — Here’s Everything I Learned

1. 1Build a RAG system using embeddings and ChromaDB
2. 2Configure FastAPI for API creation
3. 3Implement retrieval and generation components
4. 4Test and evaluate the system's performance
5. 5Deploy the system to a production environment

This tutorial is beneficial for machine learning engineers, data scientists, and software engineers who want to build and deploy RAG systems, as it provides a comprehensive guide on the technical aspects of the process.

💡 Building a production-grade RAG system requires careful consideration of embeddings, database selection, and API design

🚀 Built a RAG system from scratch in 4 weeks! 💻 Learn how to create a production-grade Retrieval-Augmented Generation system with embeddings, ChromaDB, and FastAPI