RAGHub and rag-cookbooks

RAGHub
56
Established
rag-cookbooks
47
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 1,590
Forks: 150
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 2,467
Forks: 310
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About RAGHub

Andrew-Jang/RAGHub

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

This is a living directory of tools, frameworks, and resources for Retrieval-Augmented Generation (RAG). It helps you navigate the rapidly changing landscape of RAG by providing a curated list of new and emerging solutions. You'll find frameworks for building RAG applications, evaluation tools, and data preparation frameworks. Developers and AI engineers who are building or evaluating RAG systems would use this to stay informed and choose appropriate tools.

LLM development AI engineering RAG systems Generative AI AI tools directory

About rag-cookbooks

athina-ai/rag-cookbooks

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

This project helps AI developers build more accurate and reliable question-answering systems or chatbots. It provides ready-to-use examples and code for advanced techniques that allow you to feed your specific documents (like company policies or research papers) into a large language model. The output is a system that can answer user queries based on your private, up-to-date information, rather than general internet knowledge.

AI Development Natural Language Processing Chatbot Development Information Retrieval LLM Engineering

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