<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Flowise on SoloSoft</title><link>https://www.solosoft.dev/tags/flowise/</link><description>Recent content in Flowise on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/flowise/index.xml" rel="self" type="application/rss+xml"/><item><title>Flowise: Open-Source Low-Code Platform for Building LLM Applications and AI Agents</title><link>https://www.solosoft.dev/post/flowise-low-code-llm-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/flowise-low-code-llm-2026/</guid><description>&lt;p&gt;The AI application landscape in 2026 is defined by a paradox: the underlying models have become extraordinarily capable, but building production applications around them still requires significant technical expertise. &lt;strong&gt;Flowise&lt;/strong&gt; bridges this gap with an approach that has attracted over 48,000 GitHub stars and Y Combinator backing &amp;ndash; a visual, drag-and-drop platform that turns LangChain&amp;rsquo;s complexity into intuitive node-based workflows.&lt;/p&gt;
&lt;p&gt;Flowise is not just another AI tool. It is a complete application builder that abstracts the entire LLM stack into visual components. Need a RAG chatbot that answers questions from your company&amp;rsquo;s PDF library? Drag in a document loader, connect it to a vector store, add an LLM node, and wire up a chat interface &amp;ndash; all without writing a single line of code. Need a multi-agent system that researches topics, writes reports, and sends email summaries? Flowise&amp;rsquo;s agent and tool nodes make it possible through visual composition.&lt;/p&gt;</description></item></channel></rss>