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  1. Home
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  3. /Lynavo/lynavo-drive
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repoGitHubTrust 82 · PrimaryPublished 9d agoLive · 9d ago

Lynavo/lynavo-drive

RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 58%AB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering →
  • PossiblePossibly related (embedding) · 55%RAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P] →
  • PossiblePossibly related (embedding) · 53%Little Brains, Big Feats: Exploring Compact Language Models →
  • PossiblePossibly related (embedding) · 52%Query-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs →
  • PossiblePossibly related (embedding) · 51%Hierarchical Evidence-Driven Reasoning for Long Document Understanding →
  • PossiblePossibly related (embedding) · 48%Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval - towardsdatascience.com →

Implements

paperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question AnsweringpaperLittle Brains, Big Feats: Exploring Compact Language ModelspaperQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge GraphspaperHierarchical Evidence-Driven Reasoning for Long Document Understanding

Covers

newsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]

Covers (incoming)

newsLoop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval - towardsdatascience.com

Related across the graph

paperLittle Brains, Big Feats: Exploring Compact Language ModelsnewsLoop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval - towardsdatascience.compaperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question AnsweringnewsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]paperHierarchical Evidence-Driven Reasoning for Long Document UnderstandingpaperQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs
Knowledge path·PLittle Brains, Big Feats: Exploring Compact Language Models→NLoop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval - towardsdatascience.com→PAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering→RLynavo/lynavo-drive

Topics

claudedeepseekgptgpt-4ogpt-4o-miniliamallamaparsellmmoonshotnextjs

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Graph trust82Primary
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