Efficient Test-Time Retrieval Augmented Generation
arxiv.org·2d
🎯Vector Search
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<p>**Abstract:** This research introduces a novel framework, the Automated Knowledge Graph Augmentation and Validation System (AKG-AVS), for dynamically expandi...
freederia.com·2h
🕸️Knowledge Graphs
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Lessons from Implementing RAG in 2025
📄Document AI
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.org·2d
🕸️Knowledge Graphs
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RAG: The Bridge Between Memoryless Models and Real-World Knowledge
pub.towardsai.net·1d
🤖AI
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Beyond Basic RAG: AI Agents for Context-Aware Responses
thenewstack.io·1d
📄Document AI
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
🎯Vector Search
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Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
arxiv.org·17h
📝NLP
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The Downside of Anthropomorphizing
📝NLP
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·17h
📝NLP
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Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
arxiv.org·2d
📝NLP
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AI Papers to Read in 2025
towardsdatascience.com·1d
🤖AI
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The New Optimization Stack: Where SEO Meets AI Retrieval via @sejournal, @DuaneForrester
searchenginejournal.com·8h
📄Document AI
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Announcing Magika 1.0: now faster, smarter, and rebuilt in Rust
blogger.com·2h
📄Document AI
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