RAGHub and raggenie
RAGHub is a curated registry and knowledge base for discovering RAG frameworks and resources, while Raggenie is a specific low-code platform for building RAG applications, making them ecosystem siblings where one serves as a potential discovery point for the other.
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.
About raggenie
sirocco-ventures/raggenie
RAGGENIE: An open-source, low-code platform to build custom Retrieval-Augmented Generation (RAG) Copilets with your own data. Simplify AI development with ease!
This helps non-technical professionals build custom AI assistants or chatbots to answer questions using their own business data. You input your company's documents, website content, or database information, and it produces a conversational AI that can provide relevant answers. This is for business users, content managers, or team leads who want to deploy internal knowledge bots or customer support assistants.
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