Welcome to the official documentation for RAGit, an open-source framework designed to streamline the development and management of Retrieval-Augmented

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2024-12-09 22:00:57

Welcome to the official documentation for RAGit, an open-source framework designed to streamline the development and management of Retrieval-Augmented Generation (RAG) solutions. RAGit eliminates the complexities associated with data handling, model selection, and infrastructure setup, empowering developers to concentrate on application logic and customization.

Whether you're working for a small to medium-sized business or seeking a personal solution for creating custom chatbots, RAGit offers a versatile platform to meet your needs. It supports document integration through a command-line interface capable of handling various Large Language Models (LLMs) and vector databases. Meanwhile, the intuitive, web-based front end ensures a user-friendly experience for deploying and managing your applications.

RAGit is adaptable to any dataset, accommodating a wide array of data types. This flexibility provides a robust foundation for crafting customized RAG applications.