advanced-rag and Building-and-Evaluating-Advanced-RAG-Applications
About advanced-rag
guyernest/advanced-rag
Jupyter Notebooks for Mastering LLM with Advanced RAG Course
This project helps developers and data scientists build more accurate and robust AI chatbots and question-answering systems using their own documents. It provides practical examples and solutions for feeding internal documents and data into Large Language Models (LLMs) to get precise answers, handling issues like long documents or specialized jargon. The end result is an AI system that provides more relevant and reliable responses based on your specific information.
About Building-and-Evaluating-Advanced-RAG-Applications
kevintsai/Building-and-Evaluating-Advanced-RAG-Applications
Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).
This project helps AI practitioners and data scientists refine and assess their Retrieval Augmented Generation (RAG) systems. It provides practical examples and methods to improve how information is found and used by AI, ultimately leading to more accurate and reliable AI responses. You'll go from a basic RAG setup to an advanced, production-ready system.
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