<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chat-Models on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/chat-models/</link><description>Recent content in Chat-Models 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/chat-models/index.xml" rel="self" type="application/rss+xml"/><item><title>LangChain Core Concepts</title><link>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/02-module/001-langchain-core-conepts/</link><pubDate>Fri, 21 Nov 2025 02:34:38 +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/001-langchain-core-conepts/</guid><description>&lt;p class="lead text-primary"&gt;
This document provides a comprehensive overview of LangChain's core components that enable efficient application development using large language models. It covers language models for text generation, chat models for conversational interfaces, various chat message types, prompt templates for instruction formatting, example selectors for optimizing few-shot prompts, and output parsers for transforming LLM responses into structured data formats.
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&lt;h2 id="what-is-langchain"&gt;What is LangChain&lt;/h2&gt;
&lt;p&gt;LangChain is an open-source interface that simplifies the application development process using large language models (LLMs). It facilitates a structured way to integrate language models into various use cases, including Natural Language Processing (NLP) and data retrieval.&lt;/p&gt;</description></item></channel></rss>