--- title: REACH: Enterprise RAG Framework | daily.dev description: REACH is a framework for building responsible enterprise AI for conversational harmony. It addresses issues of data protection & privacy and response... canonical: https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: REACH: Enterprise RAG Framework | daily.dev og:description: REACH is a framework for building responsible enterprise AI for conversational harmony. It addresses issues of data protection & privacy and response... og:url: https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db og:image: https://api.daily.dev/og/posts/MtHbsl6Db.png og:image:alt: REACH: Enterprise RAG Framework og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # REACH: Enterprise RAG Framework **[Towards AI](https://daily.dev/sources/tai)** · 2 min read · 1 upvotes · 0 comments ## Summary REACH is a framework for building responsible enterprise AI for conversational harmony. It addresses issues of data protection & privacy and response correctness, and includes components like the engagement/UI layer, multilingual conversation module, data queries planner, knowledge base built for RAG, and data privacy and protection layer. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#enterprise](https://daily.dev/tags/enterprise), [#data-privacy](https://daily.dev/tags/data-privacy), [#conversational-ai](https://daily.dev/tags/conversational-ai) [View this post on daily.dev](https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db) ```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","@type":"TechArticle","headline":"REACH: Enterprise RAG Framework","url":"https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db"},"datePublished":"2024-04-15T18:07:01.694Z","dateModified":"2024-05-09T08:39:06.345Z","description":"REACH is a framework for building responsible enterprise AI for conversational harmony. It addresses issues of data protection & privacy and response...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/faa77e0e8f5b498bb14e262c11b8074f?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/faa77e0e8f5b498bb14e262c11b8074f?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Towards AI","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Towards AI","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/8b7e3e63e47b4d34b4c1e634b902c12f","url":"https://daily.dev/sources/tai"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"enterprise,data-privacy,conversational-ai","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards AI","item":"https://daily.dev/sources/tai"},{"@type":"ListItem","position":3,"name":"REACH: Enterprise RAG Framework"}]} ```