#RAG | AI Hub

GitHub Trending repo Jun 4

voidduckcalm/machine-learning-library-141: A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.

A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Mar...

RAG

41

Dev.to tutorial Jun 4

#Why Your RAG Pipeline Can't Answer Relationship Questions (And How We Fixed It)

Team BroCode · TigerGraph GraphRAG Inference Hackathon 2026 We ran three retrieval pipelines on...

RAG

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GitHub Trending repo Jun 4

LastPrincipal/machine-learning-library-684: A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.

A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Mar...

RAG

60

GitHub Trending repo Jun 4

voidduckcalm/machine-learning-library-784: A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.

A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Mar...

RAG

41

Mastodon discussion Jun 4

Python isn’t the only way to build #AIAgents anymore. With #SpringAI, #Java apps get memory, RAG, tools & model switchin...

Python isn’t the only way to build #AIAgents anymore. With #SpringAI, #Java apps get memory, RAG, tools & model switching—all behind one #API. Same code runs from local Ollama to A...

RAG

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Mastodon discussion Jun 4

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.To maximize accur...

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.To maximize accuracy, you need to: ➤ Add BM25 ➤ Fuse with Reciprocal Rank Fus...

RAG

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Dev.to tutorial Jun 4

LongTracer: Open-Source RAG Hallucination Detection Without LLM-as-a-Judge

Stop paying to evaluate your LLM outputs. Stop tolerating non-deterministic quality gates. LongTracer...

LLM RAG Open Source

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Dev.to tutorial Jun 4

LLM Fine-Tuning vs RAG: A Production Decision Framework for Engineering Teams

Key Takeaways Use RAG for knowledge retrieval, changing data, and rapid iteration. Use fine-tuning...

LLM RAG

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Mastodon discussion Jun 4

Как и зачем мы сделали собственный OCR-бенчмаркОднажды нам понадобилось выбрать OCR-модель для RAG-пайплайна. Казалось б...

Как и зачем мы сделали собственный OCR-бенчмаркОднажды нам понадобилось выбрать OCR-модель для RAG-пайплайна. Казалось бы, задача простая: смотришь на лидерборды, берешь лучшую, PR...

RAG

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Dev.to tutorial Jun 4

Building a production RAG across a Book series: Retrieval, Reranking, and Hard Lessons

I built a search and Q&A system over the entire A Song of Ice and Fire series, all 10 books,...

RAG

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Dev.to tutorial Jun 4

RAG Evaluation Checklist for AI SaaS: Catch Bad Answers Before Users Do

A practical RAG evaluation checklist for AI SaaS builders to test retrieval quality, grounded answers, citations, regressions, and production failure replay.

RAG

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Papers with Code paper Jun 4

Answer Presence Drives RAG Rewriting Gains

Retrieval-augmented QA pipelines often route retrieved passages through an LLM rewriter before a smaller reader, lifting F1 by tens of points on multi-hop benchmarks; this gain is ...

RAG

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GitHub Trending repo Jun 4

Artain-AI/ignite-ms: Fast self-hosted embedding engine for search, RAG, and reindexing workloads on NVIDIA GPUs. Built in Rust + TensorRT for teams that care about scale, cost, and control.

Fast self-hosted embedding engine for search, RAG, and reindexing workloads on NVIDIA GPUs. Built in Rust + TensorRT for teams that care about scale, cost, and control.

NVIDIA RAG

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Mastodon discussion Jun 3

My custom rag build on #axelera's preorder isn't going great.... 4gb aipu is too little..That, and also I cannot use #ll...

My custom rag build on #axelera's preorder isn't going great.... 4gb aipu is too little..That, and also I cannot use #llm from huggingface because they won't axcompile.I feel bad r...

RAG

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Dev.to tutorial Jun 3

# Enterprise RAG’s Biggest Risk: Answers That Look Correct but Aren’t

Most RAG demos feel impressive at first. You upload documents, ask a question, and the system...

RAG

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Mastodon discussion Jun 3

How we index images for RAGhttps://www.kapa.ai/blog/how-we-index-images-for-rag#ai

RAG

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Dev.to tutorial Jun 3

RAG reranking for production agents: four approaches, four failure modes

Most agents that "hallucinate" in production aren't actually hallucinating. The right context existed...

RAG

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Dev.to tutorial Jun 3

I Work in Healthcare Tech. Here's Why I Built a RAG Tool for Clinical Documents.

I didn't set out to build a RAG application. I set out to solve an annoying problem I kept watching...

RAG

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Mastodon discussion Jun 3

💡 What makes a RAG system actually production-ready?Not the LLM. Not even the vector DB.It's the CHUNKING strategy:📄 Fix...

💡 What makes a RAG system actually production-ready?Not the LLM. Not even the vector DB.It's the CHUNKING strategy:📄 Fixed-size: Fast, dumb📄 Semantic: Slow, smart📄 Hierarchical: Be...

LLM RAG

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Mastodon discussion Jun 3

Гибридный поиск в RAG: как мы подняли Top-1 с 62% до 88% на базе из 50 000 документовЕсли вы строили RAG, вы знаете эту ...

Гибридный поиск в RAG: как мы подняли Top-1 с 62% до 88% на базе из 50 000 документовЕсли вы строили RAG, вы знаете эту боль: вектор-поиск красиво работает на демо-вопросах, но в п...

RAG

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Mastodon discussion Jun 3

How we index images for RAGhttps://www.kapa.ai/blog/how-we-index-images-for-rag#HackerNews #imageindexing #RAG #machinel...

How we index images for RAGhttps://www.kapa.ai/blog/how-we-index-images-for-rag#HackerNews #imageindexing #RAG #machinelearning #AI #blogpost #technology

RAG

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Mastodon discussion Jun 3