repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 2d ago
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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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) · 53%Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs →
- PossiblePossibly related (embedding) · 49%AB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering →
- PossiblePossibly related (embedding) · 47%Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation →
- FuzzySimilar title/name (fuzzy) · 87%Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques →
“Fuzzy title match (0.94): “Accelerating Masked Diffusion Large Language Models: A Surve” ≈ “NirDiamant/RAG_Techniques””
- LinkedLinked via github contributor · 85%NirDiamant →
“344 commits”
- LinkedLinked via github contributor · 85%tevfikcagridural →
“21 commits”
- LinkedLinked via github contributor · 85%lzytitan494 →
“16 commits”
- LinkedLinked via github contributor · 85%Ori226 →
“11 commits”
Implements
paperEfficient Retrieval-Augmented Generation via Token Co-occurrence GraphspaperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question AnsweringpaperKnow Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented GenerationpaperAccelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
contributed_to (incoming)
personNirDiamantpersontevfikcagriduralpersonlzytitan494personOri226personzmccormick7personroybkapersonVakeDomenpersonmichalupersonyanivvakpersoncormac-rynnepersonHaruna245personEliavShpersonspeedwagon1299personcnpatricpersonoaustegardpersonNitishGourishettypersonmoshe-shellypersonzc277584121personlordbeerus0505personmahreenfathimapersonhkwukspersoneminemencepersonsalmanmkcpersonclaude
Implements (incoming)
Related to (incoming)
Covers (incoming)
Related across the graph
personmichalupaperLittle Brains, Big Feats: Exploring Compact Language Modelspersonlzytitan494paperAccelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference TechniquespaperDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generationpersonyanivvakpersonzc277584121personspeedwagon1299personroybkapersonclaudepersonNitishGourishettypersonOri226personoaustegardpersonEliavShpersoncormac-rynnepersoncnpatricpaperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answeringpersonmoshe-shellypersonNirDiamantpaperEfficient Retrieval-Augmented Generation via Token Co-occurrence GraphspersonmahreenfathimapaperHierarchical Evidence-Driven Reasoning for Long Document UnderstandingpaperKnow Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generationpersonzmccormick7newsLoop Engineering for RAG Generation: iterate top-k one at a time - Towards Data SciencepersonVakeDomenpersonlordbeerus0505personeminemencepersontevfikcagriduralpersonhkwukspersonsalmanmkcpersonHaruna245