advanced-rag and RAG

advanced-rag

Established

RAG

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 2/25

Adoption 5/25

Maturity 16/25

Community 16/25

Stars: 327

Forks: 136

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 14

Forks: 6

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stale 6m No Package No Dependents

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.

AI Development LLM Engineering Information Retrieval Enterprise AI Chatbot Development

About RAG

AashiDutt/RAG

This repo contains self made projects and learnables from various resources on using local LLMs and RAG

Build chatbots that answer questions based on your own specific content, whether it's a website or a PDF document. You provide the content, and the chatbot delivers accurate answers from it. This is ideal for knowledge managers, content creators, or anyone needing to create a dedicated Q&A resource from their existing information.

knowledge-management content-interaction information-retrieval document-query website-Q&A

Related comparisons

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

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