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  1. Home
  2. /Repositories
  3. /NovaSearch-Team/RAG-Retrieval
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repoGitHubTrust 82 · PrimaryPublished 25d agoLive · 25d ago

NovaSearch-Team/RAG-Retrieval

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

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) · 48%I cut a RAG pipeline's response time from 90 seconds to 4. Never touched the model →
  • PossiblePossibly related (embedding) · 46%The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation - Towards Data Science →

Covers

newsI cut a RAG pipeline's response time from 90 seconds to 4. Never touched the modelnewsThe Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation - Towards Data Science

Related across the graph

newsThe Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation - Towards Data SciencenewsI cut a RAG pipeline's response time from 90 seconds to 4. Never touched the model
Knowledge path·NThe Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation - Towards Data Science→NI cut a RAG pipeline's response time from 90 seconds to 4. Never touched the model→RNovaSearch-Team/RAG-Retrieval

Topics

aillmnlpragretrieval-augmented-generation

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Graph trust82Primary
Graph score1126