---
title: "REACH: Enterprise RAG Framework"
url: https://daily.dev/posts/reach-enterprise-rag-framework-mthbsl6db
source_url: https://pub.towardsai.net/reach-responsible-enterprise-ai-for-conversational-harmony-a-unified-rag-framework-for-chatbots-01607150c237
type: article
source: "Towards AI"
published: 2024-04-15T18:07:01.694Z
updated: 2024-05-09T08:39:06.345Z
tags: ["enterprise", "data-privacy", "conversational-ai"]
reading_time: 2
upvotes: 1
comments: 0
language: 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: <https://pub.towardsai.net/reach-responsible-enterprise-ai-for-conversational-harmony-a-unified-rag-framework-for-chatbots-01607150c237>

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---

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)
