#RAG

Mastodon discussion May 15

Just survived a RAG retrieval quality nightmare, and lived to tell the tale of costs and benefits. Worth it?#Rag #Ai #Re...

Just survived a RAG retrieval quality nightmare, and lived to tell the tale of costs and benefits. Worth it?#Rag #Ai #Retrieval #Llmhttps://mustafaerbay.com.tr/en/blog/technology/r...

RAG

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Dev.to tutorial May 15

Improving RAG Retrieval Quality: A Cost-Benefit Analysis

Improving RAG Retrieval Quality: A Cost-Benefit Analysis Retrieval-Augmented Generation...

RAG

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Mastodon discussion May 15

RAG retrieval kalitesini artırmak gerçek dünya uygulamalarında nasıl bir fark yaratıyor?#Rag #Ai #Retrieval #Llmhttps://...

RAG retrieval kalitesini artırmak gerçek dünya uygulamalarında nasıl bir fark yaratıyor?#Rag #Ai #Retrieval #Llmhttps://mustafaerbay.com.tr/blog/technology/rag-retrieval-kalitesini...

RAG

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Mastodon discussion May 15

Qdrant's vector search powers Sapu's AI platform to index 28 million PubMed abstracts, accelerating cancer research and ...

Qdrant's vector search powers Sapu's AI platform to index 28 million PubMed abstracts, accelerating cancer research and contributing to peer-reviewed publications. #AI #VectorSearc...

RAG

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Dev.to tutorial May 15

RAG Series (16): Graph RAG — Using Knowledge Graphs to Solve Multi-Hop Reasoning

The Relationship Blindspot in Vector Retrieval Every optimization in this series so far —...

RAG

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Dev.to tutorial May 15

# I Built a RAG System That Enforces Its Own Citations — And Blocks Its Own Merges

The Problem With Most RAG Tutorials Every RAG tutorial ends the same way. You send a...

RAG

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Dev.to tutorial May 14

Oracle AI Database 26ai: Relational Integrity, Vector Search, and AI-Ready Financial Workflows

Why this article This article was originally published on Medium. I am cross-posting it...

RAG

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Dev.to tutorial May 14

Why RAG Fails for Architectural Governance

Retrieval-augmented generation is excellent for knowledge lookup. It is the wrong tool for enforcing architectural decisions. The distinction is deep, and most teams building AI co...

RAG

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Dev.to tutorial May 14

Your RAG Pipeline Is Lying to You

You built a RAG pipeline. You tested it manually with a few queries, got reasonable answers, and...

RAG

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Dev.to tutorial May 14

The Death of RAG? Long-Context Windows vs. Vector Databases

The Death of RAG? Long-Context Windows vs. Vector Databases For the past year,...

RAG

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Dev.to tutorial May 14

Why “Just Prompting” Fails on Private Data: A RAG Post‑Mortem

The Problem You have a 400‑page internal handbook includes compliance rules, HR policies,...

RAG

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Dev.to tutorial May 14

How To Build An AI Agent In 2026: Tools, Architecture, RAG, MCP, And Real-World Use Cases

How to Build an AI Agent is no longer a future-dev question. It is the thing product teams, founders,...

RAG Agents MCP

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GitHub Trending repo May 14

Callous-0923/agent-study: 28章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。

28章AI Agent全栈课程：从ReAct循环到Claude Code逆向、MCP/A2A协议、RAG、DSPy、生产可观测性——全部为可运行Python文件，面试导向。

Anthropic RAG Agents

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Dev.to tutorial May 14

Why PDF-Style RAG Fails on Structured Enterprise Data

Most teams try to use document RAG patterns on structured enterprise data. That usually breaks. PDF...

RAG

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Dev.to tutorial May 14

Build a Real-Time Voice RAG Agent for Your Documentation

Ever wish you could just ask someone to explain your product or API as you build, or want a way to...

RAG

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Mastodon discussion May 14

Search our documentation by meaning, not keywordsRaspberry Pi는 자사 기술 문서 검색에 RAG(검색 증강 생성) 기반 AI 챗봇 도구인 InKeep과 Kapa를 시험 ...

Search our documentation by meaning, not keywordsRaspberry Pi는 자사 기술 문서 검색에 RAG(검색 증강 생성) 기반 AI 챗봇 도구인 InKeep과 Kapa를 시험 적용 중이다. 이들 챗봇은 문서를 의미 기반 임베딩으로 분할해 관련 정보를 찾아내고, LLM을 활용해 문서 ...

RAG

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Dev.to tutorial May 14

An Oracle DBA builds AI: shipping Oracle 23ai RAG and an MCP server in a weekend

I asked Claude to 'DROP TABLE' on my Oracle database. It tried. The guardrails refused. The audit...

Anthropic RAG MCP

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Dev.to tutorial May 13

Beyond Basic RAG: The Rise of Agentic Retrieval

Beyond Basic RAG: The Rise of Agentic Retrieval Retrieval-Augmented Generation (RAG) has...

RAG Agents

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Mastodon discussion May 13

Fazit: Die Datenbankwahl ist eine Architekturentscheidung, keine Logo-Frage. Wer RAG ernst meint, optimiert Suche, Filte...

Fazit: Die Datenbankwahl ist eine Architekturentscheidung, keine Logo-Frage. Wer RAG ernst meint, optimiert Suche, Filter und Evaluierung — nicht nur das LLM. https://aisyndicate.c...

RAG

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Dev.to tutorial May 13

How I Built a Fully Local AI F1 Pit-Wall Using LLaMA 3, RAG, and Real-Time Telemetry

Over the past few weeks, I’ve been experimenting with a question that kept coming to mind while...

Meta RAG

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Dev.to tutorial May 13

Building a production-ready RAG pipeline

Large Language Models (aka LLMs) have a memory problem: their knowledge stops the day their training...

RAG

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Dev.to tutorial May 13

RAG Series (15): CRAG — Self-Correcting When Retrieval Falls Short

The Knowledge Base Boundary Problem Previous articles optimized retrieval quality — better...

RAG

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Mastodon discussion May 12

A 3.5 MB C++ engine for deterministic RAG deduplication hitting 30 GB/sMerlin Community Edition은 LLM 컨텍스트에서 중복 제거를 통해 토큰...

A 3.5 MB C++ engine for deterministic RAG deduplication hitting 30 GB/sMerlin Community Edition은 LLM 컨텍스트에서 중복 제거를 통해 토큰 사용을 절감하는 경량 C++ 엔진과 통합 도구를 제공한다. 이 오픈소스 프로젝트는 MITM 없이 VSCod...

Anthropic LLM RAG

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Dev.to tutorial May 12

Why I Used SHA-256 to Solve a Problem Most RAG Tutorials Pretend Doesn't Exist

When I built GridMind — a fully offline RAG assistant designed to run on CPU-only hardware with under...

RAG

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