This is an educational project that constructs an advanced RAG pipeline from scratch to demystify how these systems work internally. It covers vector retrieval using Faiss, document chunking, and response generation with LLMs like GPT-4, integrating with EvaDB as the application framework. The project explains the mechanics, limitations, and costs behind RAG pipelines, serving as an alternative to opaque frameworks like LlamaIndex and Haystack.