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Enhancing AI with GraphRAG: A New Frontier in Knowledge RetrievalFresh startup ideas for your digital business

Combining knowledge graphs with retrieval-augmented generation for more accurate, contextually aware AI responses. A paper review of GraphRAG: Design Patterns, Challenges, and Recommendations Source: substack GraphRAG represents a significant advancement in AI-driven knowledge retrieval by combining the strengths of knowledge graphs and retrieval-augmented generation. from the article Overview This paper discusses GraphRAG, a…

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Towards The Era of Personal GenAI: How NVIDIA TensorRT Brings Advanced Models to Your GPU Powered Desktop

In the realm of artificial intelligence, the deployment of Large Language Models (LLM) and Generative AI (GenAI) applications on personal desktop environments marks a transformative shift towards democratizing AI technology. By harnessing the power of NVIDIA’s GPU cards and TensorRT-LLM open source library, GenAI applications, traditionally confined to cloud-based platforms are now being tailored for…

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The Future of Knowledge Graph: Will Structured and Semantic Search Become One?

In the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based on whether data is structured or unstructured. Accordingly, there is the so-called structured search using a query language over a database or semantic search using inferencing and reasoning over the meaning of data, mostly…

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