RAG as an MCP Server: How I Let Claude Code Search My Own Documents
This article is for AI developers who want Claude Code to answer questions from their own documents....
#RAG
1697 articles tagged with RAG
Пайпы OpenWebUI: зачем писать код там, где «всё уже есть в настройках»Настроить кастомную модель с инструментами и RAG в...
Пайпы OpenWebUI: зачем писать код там, где «всё уже есть в настройках»Настроить кастомную модель с инструментами и RAG в OpenWebUI — легко. Заставить её работать предсказуемо в бою...
Your RAG doesn't need a better embedding model. It needs better chunking.
For the last week I've been running LongMemEval against Palace, a local memory store I build for...
DeFT-RAG: Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers
Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant passages from a large corpus. However, RAG struggles with multi-hop q...
Why Flat-Text PDF Parsing Breaks RAG (And How Spatial 2D Grounding Fixes It)
When building Retrieval-Augmented Generation (RAG) pipelines, the standard ingestion step usually...
Graph RAG on the database you already run: meet Drivine
A graph database client for TypeScript, Python and the JVM that runs your Cypher on Neo4j, Memgraph, FalkorDB, Neptune, and compiles it to SQL on Postgres, Oracle and SQLite.
Learning LangChain by Building: 7 Tiny Examples from Chat Models to RAG
A data engineer's hands-on path through LangChain: chat models, memory, LCEL chains, structured output, tool calling with SQL guardrails, and RAG over a PDF.
Как построить self‑hosted RAG‑систему с LangGraph‑агентом на локальных LLMОбычно стек для RAG‑систем и AI‑агентов строит...
Как построить self‑hosted RAG‑систему с LangGraph‑агентом на локальных LLMОбычно стек для RAG‑систем и AI‑агентов строится вокруг облачных API (OpenAI, Anthropic) и управляемых век...
Before you build a RAG PoC: a 10-point checklist
Most RAG proofs of concept don't fail because the model is bad. They fail because nobody agreed what...
RAG検索を索引なしで高速化。意思決定AIで文書をたどる新手法「DecisionRAG」https://pc.watch.impress.co.jp/docs/news/2152176.html#impress #市場 #AI #その他
RAG検索を索引なしで高速化。意思決定AIで文書をたどる新手法「DecisionRAG」https://pc.watch.impress.co.jp/docs/news/2152176.html#impress #市場 #AI #その他
Vector Databases Explained: Powering AI Search and RAGVector databases are the engine under AI search and RAG, but they ...
Vector Databases Explained: Powering AI Search and RAGVector databases are the engine under AI search and RAG, but they are widely misunderstood. Here is what they really do, how t...
Anthropic заблокировала меня и я потерял подписку за $100, но сохранил год работы и собрал личную RAG-базуПривет, Хабр! ...
Anthropic заблокировала меня и я потерял подписку за $100, но сохранил год работы и собрал личную RAG-базуПривет, Хабр! Кто нибудь уже получал такие письма счастья? Причина - стран...
Как сделать RAG по профессиональной документацииПривет, Хабр! Хотелось бы начать статью с такого вопроса: кто из нас еще...
Как сделать RAG по профессиональной документацииПривет, Хабр! Хотелось бы начать статью с такого вопроса: кто из нас еще не использовал чат ассистентов в своей работе и повседневно...
Build RAG in C# with ASP.NET Core and Qdrant
# Build RAG in C# with ASP.NET Core and Qdrant Build RAG in C# with ASP.NET Core, Qdrant and Ollama:...
Building a Production RAG API in Go with pgvector and Gemini
Lessons from building the Restaurant Suggestion System, a Go/Gin backend with a conversational...
Vector Databases for AI: What They Are and When You Need OneVector databases are the storage layer behind RAG and AI sea...
Vector Databases for AI: What They Are and When You Need OneVector databases are the storage layer behind RAG and AI search. Here is what they are in plain terms, how similarity se...
🚀 Fastest-growing AI projects today1. One standout project leverages Rust to provide full-text and vector search capabil...
🚀 Fastest-growing AI projects today1. One standout project leverages Rust to provide full-text and vector search capabilities...2. CrocSwap's integer-mult-bounds repository has see...
wanghao-SunSky/cs329z-chinese: 斯坦福 Stanford CS329Z Engineering AI Agents 中文教程：面向 Python 开发者的 AI 智能体课程，19 讲与 4 项实践，涵盖 LLM、RAG、工具调用、记忆、多智能体、评测与安全。完整 Markdown、在线与离线 HTML。Chinese course notes.
斯坦福 Stanford CS329Z Engineering AI Agents 中文教程：面向 Python 开发者的 AI 智能体课程，19 讲与 4 项实践，涵盖 LLM、RAG、工具调用、记忆、多智能体、评测与安全。完整 Markdown、在线与离线 HTML。Chinese course notes.
Researchers propose OA-RAG, an agent integrating formal reasoning with LLM reasoning using domain ontologies.Source: arX...
Researchers propose OA-RAG, an agent integrating formal reasoning with LLM reasoning using domain ontologies.Source: arXivhttps://arxiv.org/abs/2610.36335#MachineLearning
How RAG Actually Works: Chunking, Embeddings, Retrieval, and Reranking Under the Hood
Deep dive into how RAG actually works under the hood — chunking strategies, hybrid BM25+dense retrieval with RRF, cross-encoder reranking, HyDE, parent-child retrieval, and product...
RAG in plain English: how my college helpdesk answers from documents only
Internal GPT is a helpdesk I built for college environments. Administrators upload institutional...
Building a RAG Knowledge Assistant: Chunking, Embeddings, Vector Search, and Answers That Cite Their Sources
Ask a general-purpose LLM about your company's refund policy and it will answer confidently. It will...
Cutting RAG Token Bloat: Compression Before Retrieval in Production Pipelines
Battle-tested patterns for compressing vector search results and tool outputs before LLM ingestion, with pgvector indexing and hybrid rank fusion code.
I measured the assumption that a retrieval similarity score can tell you when a RAG system is out of its depth. On a sma...
I measured the assumption that a retrieval similarity score can tell you when a RAG system is out of its depth. On a small Romanian question-answering corpus, the in-corpus and out...