FlexRAG and TrustRAG
FlexRAG provides a modular RAG framework optimized for retrieval and generation tasks, while TrustRAG adds a trust and reliability layer on top of RAG pipelines, making them **complements** that could be used together to build trustworthy information retrieval systems.
About FlexRAG
ictnlp/FlexRAG
FlexRAG: A RAG Framework for Information Retrieval and Generation.
This is a tool for AI researchers and developers who are building Retrieval-Augmented Generation (RAG) systems. It helps quickly reproduce, develop, and evaluate RAG systems, taking various data types like text, images, and web content as input and producing enhanced generative AI models. It's designed for those who need to experiment with different RAG approaches and share their findings efficiently.
About TrustRAG
gomate-community/TrustRAG
TrustRAG：The RAG Framework within Reliable input,Trusted output
Need to build a system that answers questions based on your documents, guaranteeing the answers are relevant and trustworthy? TrustRAG helps you achieve this by taking your raw text, PDFs, web pages, or other documents and processing them into a format that large language models (LLMs) can use to generate accurate answers. It's designed for anyone who needs to extract reliable information and generate credible responses from a large body of content, such as researchers, analysts, or content managers.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work