<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Langchain-Ai on Vue Templates</title><link>https://www.vuejstemplates.com/author/langchain-ai/</link><description>Recent content in Langchain-Ai on Vue Templates</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.vuejstemplates.com/author/langchain-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Langchain Cloudflare Nuxt Template</title><link>https://www.vuejstemplates.com/theme/langchain-ai-langchain-cloudflare-nuxt-template/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.vuejstemplates.com/theme/langchain-ai-langchain-cloudflare-nuxt-template/</guid><description>&lt;h2 id="overview">Overview:&lt;/h2>
&lt;p>This repository showcases a conversational retrieval system that can route between multiple data sources. It aims to reduce distractions from off-topic documents and is particularly beneficial for small models. The system uses Cloudflare WorkersAI, Cloudflare Vectorize DBs, LangChain.js, and Nuxt + Vue for the frontend. Users can swap in more powerful models to improve performance. The system works by populating vectorstores with data, routing incoming questions to the appropriate vectorstore, retrieving context documents, and generating a final answer based on the retrieved context and the question.&lt;/p></description></item></channel></rss>