Large language models
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A reflective overview of how text indexing evolved from manual keyword lists to full-text search and modern large language models.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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A reflective overview of how text indexing evolved from manual keyword lists to full-text search and modern large language models.
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This paper proposes a Graph RAG framework that combines community-based indexing with lazy agentic querying to achieve explainable knowledge synthesis for internal knowledge management.
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, et al.
Explores how deep learning addresses big data analytics challenges like pattern extraction, semantic indexing, and scalability.
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Proposes Ket-rag, a cost-efficient multi-granular indexing framework for Graph-RAG that reduces indexing costs while maintaining retrieval quality.
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Lightrag introduces a graph-based indexing approach to enhance efficiency in retrieval-augmented generation for LLMs.