<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>rag on</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/tags/rag/</link><description>Recent content in rag on</description><generator>Hugo -- gohugo.io</generator><lastBuildDate>Tue, 03 Jan 2023 21:01:49 +0530</lastBuildDate><atom:link href="https://docs.gathr.ai/gathr-unlimited/7.6.0/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>RAG Chatbot Integration</title><link>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/knowledge-base/kb-rag-chatbot-integration/</link><pubDate>Tue, 03 Jan 2023 21:01:49 +0530</pubDate><guid>https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/knowledge-base/kb-rag-chatbot-integration/</guid><description>This section will cover how to connect your Knowledge Base with a Retrieval-Augmented Generation (RAG) based chatbot for interactive AI-powered Q&amp;amp;A and automation.
Create DI Application # Click the Create DI App button on Document Intelligence page.
Application Name: Provide a unique name to identify your application.
Tags: Add relevant key words to categorize and organize your application.
Click OK to proceed.
Data Source (Step 1) # Connect Content Source: Configure source to collect the input data.</description></item></channel></rss>