guyernest/advanced-rag

Jupyter Notebooks for Mastering LLM with Advanced RAG Course

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Established

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.

327 stars. No commits in the last 6 months.

Use this if you are building a Retrieval Augmented Generation (RAG) system and need to improve how it finds and uses information from your documents to generate accurate answers.

Not ideal if you are a business user looking for a ready-to-use AI solution without needing to understand its underlying technical implementation.

AI Development LLM Engineering Information Retrieval Enterprise AI Chatbot Development

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 25 / 25

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Stars

327

Forks

136

Language

Jupyter Notebook

License

MIT

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advanced-rag and rag-all-techniques advanced-rag and RAG advanced-rag and Building-and-Evaluating-Advanced-RAG-Applications advanced-rag and RAG-for-LLMs-demo

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