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All winning or stakes-placed progeny are listed for North American performances within the previous seven days. Winners are updated on the list only when the information on new winners is ...
Learn More Retrieval-augmented generation (RAG) has become the de facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and ...
With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...
Learn More Popular AI orchestration framework LlamaIndex has introduced Agent Document Workflow (ADW), a new architecture that the company says goes beyond retrieval-augmented generation (RAG ...
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art ...
We introduce MMed-RAG, a powerful multimodal RAG system that boosts the factuality of Medical Vision-Language Models (Med-LVLMs) by up to 43.8%! 🩺 [Paper] [X(Twitter)] MMed-RAG enhances alignment ...