ragbits and context-aware-rag
These are complements: ragbits provides general-purpose RAG building blocks that could integrate NVIDIA's specialized context-aware retrieval functions for knowledge graph-enhanced retrieval pipelines.
About ragbits
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
This project offers robust building blocks for quickly creating Generative AI applications. It allows you to feed various document types, like PDFs and spreadsheets, into an AI system to get accurate, context-aware answers. It's designed for AI developers and engineers looking to build scalable and reliable AI assistants, chatbots, or intelligent search tools.
About context-aware-rag
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
This library helps developers enhance their AI applications by creating sophisticated RAG (Retrieval Augmented Generation) pipelines. It takes various data sources, extracts structured knowledge, and outputs relevant information for natural language queries. Developers, AI engineers, and data scientists use it to build context-aware AI agents or Q&A systems.
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