Search with no AI in the answer, and why I chose plain chunks over tree-RAG
`> I develop a privacy-first RAG chatbot for WordPress. This combines two writeups from...
#RAG
1132 articles tagged with RAG
CodeOwner Bot: Building a Production RAG System with Gemini at Scale
The Problem Picture this: Your codebase is massive. Thousands of files, hundreds of...
Why RAG needs context judgment, not just better retrieval
Why RAG needs context judgment, not just better retrieval Most RAG systems optimize for...
RAG, Multi-Agent Orchestration & AI Trust Models for Production Workflows
RAG, Multi-Agent Orchestration & AI Trust Models for Production Workflows ...
Building a LangGraph RAG Agent from Scratch — with a Live UI That Shows Every Step
I built a learning project that teaches LangChain and LangGraph step by step — starting from a raw...
Chat with your documents: agentic RAG in a few lines
RAG is not new. Chunk a document, embed the chunks, store them in a vector database, run a retrieval...
Most developers still think #Java + #AI means calling APIs from Spring Boot. The ecosystem goes deeper—from RAG framewor...
Most developers still think #Java + #AI means calling APIs from Spring Boot. The ecosystem goes deeper—from RAG frameworks to local inference with #Ollama or GPU workloads on #JVM....
What Most RAG Tutorials Don't Teach You
Most RAG tutorials stop at something like: Vector Search → LLM → Done And for learning the basics,...
RAG Retrieval Quality: Are Large Models Really Necessary?
Introduction: The Place of Large Models in RAG and Lingering Questions Retrieval-Augmented...
RAG를 통한 Ruby 전문가 LLM 구축: 해결된 문제와 남은 한계 RAG는 LLM의 환각 현상을 완전히 제거하는 것이 아니라, 실제 문서에 기반한 환각으로 그 형태를 변화시키며 발생 빈도를 줄이는 역할을 한다. ...
RAG를 통한 Ruby 전문가 LLM 구축: 해결된 문제와 남은 한계 RAG는 LLM의 환각 현상을 완전히 제거하는 것이 아니라, 실제 문서에 기반한 환각으로 그 형태를 변화시키며 발생 빈도를 줄이는 역할을 한다. 🔗 원문 보기
Looking for a LLM to run i Ollama to use as RAG with OpenWebUI. Has to fit on 4GB VRAM... Any suggesstions?I have tried ...
Looking for a LLM to run i Ollama to use as RAG with OpenWebUI. Has to fit on 4GB VRAM... Any suggesstions?I have tried qwen2.5:3b, phi4-mini:3.8b and gemma3:4b...#selfhosting #rag...
Vector Database Benchmarks Are Lying to You. Here Is What to Test Instead.
The leaderboards look impressive. They also test almost nothing that matters in production. Here is...
Как я сделал локальный RAG-сервис для SRE: ищем по документации, ранбукам и коду через OllamaНедавно делал учебный проек...
Как я сделал локальный RAG-сервис для SRE: ищем по документации, ранбукам и коду через OllamaНедавно делал учебный проект про автоматизацию документирования инцидентов. Поначалу пл...
RAG (Retrieval-Augmented Generation), yapay zekanın belgeleri kullanarak daha doğru ve kapsamlı yanıtlar üretmesini sağl...
RAG (Retrieval-Augmented Generation), yapay zekanın belgeleri kullanarak daha doğru ve kapsamlı yanıtlar üretmesini sağlayan bir tekniktir. Belge okuma yeteneği sayesinde, kullanıc...
Hao610/AI-Model-Atlas: Bilingual open-source AI learning map: RAG, agents, fine-tuning & system design (EN/ZH) | 中英双语开源 AI 学习路线图：RAG、智能体、微调及系统设计
Bilingual open-source AI learning map: RAG, agents, fine-tuning & system design (EN/ZH) | 中英双语开源 AI 学习路线图：RAG、智能体、微调及系统设计
I gave a generic LLM access to Ruby documentation through RAG.The hallucinations didn't disappear.They changed.The most ...
I gave a generic LLM access to Ruby documentation through RAG.The hallucinations didn't disappear.They changed.The most interesting failures happened when the model had the correct...
RAG Without Persona Modeling Fails Patient Clinical Relevancehttps://www.riddhimohan.com/blog/hppie-rag-without-persona-...
RAG Without Persona Modeling Fails Patient Clinical Relevancehttps://www.riddhimohan.com/blog/hppie-rag-without-persona-modeling-fails-patient-clinical-relevance#HackerNews #Tech #...
Bridging the Rigidity Gap: Deploying Secure Agentic RAG in Healthcare Governance
In the healthcare industry, data is both an organization's most valuable asset and its most heavily...
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...
#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...
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...
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...
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...
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...