<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pipe-Operator on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/pipe-operator/</link><description>Recent content in Pipe-Operator on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Fri, 15 May 2026 13:20:20 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/pipe-operator/index.xml" rel="self" type="application/rss+xml"/><item><title>LCEL Chaining Method</title><link>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/02-module/003-langchain-chains-methods/</link><pubDate>Fri, 21 Nov 2025 13:19:01 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/02-module/003-langchain-chains-methods/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores LangChain Expression Language (LCEL), a modern pattern for building composable chains using the pipe operator to connect components. It covers prompt template structuring with variables, runnable composition primitives including sequential and parallel execution, type coercion mechanisms, and practical implementation patterns for developing reusable AI applications with enhanced readability and flexibility.
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&lt;h2 id="introduction-to-lcel"&gt;Introduction to LCEL&lt;/h2&gt;
&lt;p&gt;LangChain Expression Language (LCEL) is a pattern for building LangChain applications that utilizes the pipe operator to connect components. This approach ensures a clean, readable flow of data from input to output.&lt;/p&gt;</description></item></channel></rss>