--- title: RAG News & Updates | daily.dev description: Retrieval-Augmented Generation (RAG) supplies a model with retrieved documents so its answers are grounded in a source. Readers can learn about chunking and embedding strategies, vector and hybrid retrieval, reranking, evaluation, and production failure modes. canonical: https://daily.dev/tags/rag twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/rag og:type: website og:site_name: daily.dev og:title: RAG News & Updates | daily.dev og:description: Retrieval-Augmented Generation (RAG) supplies a model with retrieved documents so its answers are grounded in a source. Readers can learn about chunking and embedding strategies, vector and hybrid retrieval, reranking, evaluation, and production failure modes. og:image: https://api.daily.dev/og/tags/rag.png og:image:width: 1200 og:image:height: 630 --- ## Recommended RAG stories ## Who to follow for RAG [](https://daily.dev/iammukeshm) [Mukesh Murugan](https://daily.dev/iammukeshm) [@iammukeshm](https://daily.dev/iammukeshm) Joined Aug 21\. 2022 890 [](https://daily.dev/bits%5Fand%5Fbytes) [bits\_007](https://daily.dev/bits%5Fand%5Fbytes) [@bits\_and\_bytes](https://daily.dev/bits%5Fand%5Fbytes) Joined Dec 14\. 2024 4K [](https://daily.dev/bytefer) [bytefer](https://daily.dev/bytefer) [@bytefer](https://daily.dev/bytefer) Joined Jul 31\. 2022 2.2K Focus on AI Agent and AI Automation. [](https://daily.dev/johhnypav) [Pavan Belagatti](https://daily.dev/johhnypav) [@johhnypav](https://daily.dev/johhnypav) Joined Dec 15\. 2020 4.7K Developer Evangelist [](https://daily.dev/bhalli) [Bhalli B](https://daily.dev/bhalli) [@bhalli](https://daily.dev/bhalli) Joined May 23\. 2024 310  Bhalli Dev Verified Full-Stack Engineer & SaaS MVP Architect | Shipping AI-Powered SaaS MVPs for Founders | MERN Next.js [](https://daily.dev/decodo) [Decodo](https://daily.dev/decodo) [@decodo](https://daily.dev/decodo) Joined Oct 20\. 2026 10 Building tools and sharing insights for web scraping, data automation, and AI. ## Top sources covering RAG ## Most upvoted RAG posts ## Best discussed RAG posts ## All posts about RAG ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/rag#page","url":"https://daily.dev/tags/rag","name":"RAG News \u0026 Updates","description":"Retrieval-Augmented Generation (RAG) supplies a model with retrieved documents so its answers are grounded in a source. 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