#RAG | AI Hub

Papers with Code paper Apr 16

Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG

Retrieval-Augmented Generation (RAG) grounds LLM responses in external evidence but treats the model as a passive consumer of search results: it never sees how the corpus is organi...

RAG

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Mastodon discussion Apr 15

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 15, 2026This week in the RAG & Vector Databases ...

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 15, 2026This week in the RAG & Vector Databases space, we're seeing a surge in interest around tools that en...

RAG

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Dev.to tutorial Apr 15

Why RAG fails for AI agent memory — and how I fixed it (with benchmarks)

I've been building Pulses — a project where AI personalities need real long-term memory across...

RAG Agents

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Mastodon discussion Apr 15

I _also_ built a thing! I know, shocker!https://metallapan.se/post/giving-your-ai-a-memory/ #RAG #LLM #python

LLM RAG

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Mastodon discussion Apr 15

RAG system. Day 3: Indexing.95 years of Oscars data. Now stored as vectors.ChromaDB finds relevant chunks. Claude reads ...

RAG system. Day 3: Indexing.95 years of Oscars data. Now stored as vectors.ChromaDB finds relevant chunks. Claude reads them. Answers grounded in facts.Day 4 tomorrow: the full ret...

Anthropic RAG

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Mastodon discussion Apr 15

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 14, 2026This week in the RAG & Vector Databases ...

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 14, 2026This week in the RAG & Vector Databases space, we're seeing a surge in innovative projects that leve...

RAG

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Mastodon discussion Apr 15

Как мы перестали мерить качество ответов RAG-поиска «на глаз» и начали нормально сравниватьЕсли вы делаете RAG-поиск по ...

Как мы перестали мерить качество ответов RAG-поиска «на глаз» и начали нормально сравниватьЕсли вы делаете RAG-поиск по документации или базе знаний, то рано или поздно упираетесь ...

RAG

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Dev.to tutorial Apr 15

Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB

Building a Retrieval-Augmented Generation (RAG) sounds easy with all the available tutorials. You...

RAG

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Mastodon discussion Apr 15

RT @OpenRouter: Neu auf OpenRouter: Reranker-Modelle 🔍 Warum einen Reranker in deine RAG-Pipeline einbauen? Die Embeddin...

RT @OpenRouter: Neu auf OpenRouter: Reranker-Modelle 🔍 Warum einen Reranker in deine RAG-Pipeline einbauen? Die Embedding-Suche findet relevante Textabschnitte, aber Reranker sagen...

RAG

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Mastodon discussion Apr 15

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 14, 2026The RAG & Vector Databases space has see...

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 14, 2026The RAG & Vector Databases space has seen a surge in innovative projects this week, with a focus on ...

RAG

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Mastodon discussion Apr 15

@dbtechyt try some stuff, get your docs on an internal only website and spider with yacy and then rag pipeline with pyda...

@dbtechyt try some stuff, get your docs on an internal only website and spider with yacy and then rag pipeline with pydantic? I think things will keep evolving even in the next 6 m...

RAG

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Mastodon discussion Apr 14

https://www.tkhunt.com/2285140/ AIニュースで英語学習　ベクトルデータベース不要でRAG同等の性能を実現――キーワード検索とエージェント型AIの組み合わせに新知見 #AgenticAi #AI #Artifi...

https://www.tkhunt.com/2285140/ AIニュースで英語学習　ベクトルデータベース不要でRAG同等の性能を実現――キーワード検索とエージェント型AIの組み合わせに新知見 #AgenticAi #AI #ArtificialIntelligence #エージェント型AI #人工知能

RAG

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Mastodon discussion Apr 14

RAG system. Day 2: Setup.Three tools. One goal.pip install langchain anthropic chromadb→ LangChain: orchestrates the pip...

RAG system. Day 2: Setup.Three tools. One goal.pip install langchain anthropic chromadb→ LangChain: orchestrates the pipeline→ Claude API: generates answers from retrieved context→...

Anthropic RAG

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Mastodon discussion Apr 14

📰 LLM Wiki vs RAG: Build an AI Knowledge System in 2026 (Andrej Karpathy)LLM Wiki is an emerging framework that turns ra...

📰 LLM Wiki vs RAG: Build an AI Knowledge System in 2026 (Andrej Karpathy)LLM Wiki is an emerging framework that turns raw notes and documents into structured, AI-enhanced knowledge...

LLM RAG

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Dev.to tutorial Apr 14

🚀 I Built a Browser-Local AI Assistant in Next.js with WebLLM, WASM, ONNX Runtime, Web Workers, and RAG

Most AI chat widgets are just frontends for a remote API. This one is different. My assistant runs...

RAG

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Dev.to tutorial Apr 14

How to Build a PDF RAG Pipeline Without Text Extraction (Using Native PDF Embeddings)

A step-by-step guide to building a PDF RAG pipeline using native PDF embeddings. Avoid text extraction, preserve layout, and improve retrieval with Ge

RAG

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Mastodon discussion Apr 14

📰 Missing Context Layer: The 2026 Secret to Stable RAG Systems & LLM ReliabilityThe missing context layer is the critica...

📰 Missing Context Layer: The 2026 Secret to Stable RAG Systems & LLM ReliabilityThe missing context layer is the critical yet overlooked component that transforms RAG from theory i...

LLM RAG

9

Dev.to tutorial Apr 14

🚀 I Built an AI-Powered Fest Assistant with Agents, RAG & Planning (Pragyan @ NITT)

I deleted Instagram more than a year ago, and honestly, it saved me from a lot of distractions. But...

RAG

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Dev.to tutorial Apr 14

The 5 Levels of RAG Maturity: How to Know When Your RAG Is Actually Production-Ready

I've watched a lot of RAG projects ship in the last eighteen months. They all follow the same...

RAG

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Mastodon discussion Apr 14

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 13, 2026This week in the RAG & Vector Databases ...

🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 13, 2026This week in the RAG & Vector Databases space, we're seeing a surge of interest in tools that facili...

RAG

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Mastodon discussion Apr 14

Andrej Karpathy's research organization method drew 16M views: skip RAG pipelines, point an LLM at a folder of markdown ...

Andrej Karpathy's research organization method drew 16M views: skip RAG pipelines, point an LLM at a folder of markdown files instead. His approach generated a 100-article, 400k-wo...

LLM RAG

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