repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
Yigtwxx/awesome-rag-production
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
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%Little Brains, Big Feats: Exploring Compact Language Models →
- PossiblePossibly related (embedding) · 47%Please help - I saw a reel about how to better use Anthropic models in tandem with something on your local desktop. I thought it was very motivating and exciting, but now I cant find the reel again, and I don't even know the search terms to use to search for it →
- PossiblePossibly related (embedding) · 46%RAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P] →
- PossiblePossibly related (embedding) · 50%Domain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert! →
- PossiblePossibly related (embedding) · 47%Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline - towardsdatascience.com →
- PossiblePossibly related (embedding) · 51%Loop Engineering for RAG Generation: iterate top-k one at a time - Towards Data Science →
Implements
Covers
newsPlease help - I saw a reel about how to better use Anthropic models in tandem with something on your local desktop. I thought it was very motivating and exciting, but now I cant find the reel again, and I don't even know the search terms to use to search for itnewsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]
Covers (incoming)
newsDomain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert!newsLoop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline - towardsdatascience.comnewsLoop Engineering for RAG Generation: iterate top-k one at a time - Towards Data Science
Related across the graph
paperLittle Brains, Big Feats: Exploring Compact Language ModelsnewsRAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]newsDomain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert!newsLoop Engineering for RAG Generation: iterate top-k one at a time - Towards Data SciencenewsLoop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline - towardsdatascience.comnewsPlease help - I saw a reel about how to better use Anthropic models in tandem with something on your local desktop. I thought it was very motivating and exciting, but now I cant find the reel again, and I don't even know the search terms to use to search for it