Articles → LANGCHAIN → Llmchain In Langchain

Llmchain In Langchain

This article introduces LLMChain in Langchain.

Purpose

LLMChain is the core LangChain component that connects a prompt and an LLM into a single reusable pipeline.

It has three parts:

PromptTemplate — defines the structure of the prompt

LLM — the model that generates text

Chain logic — inserts variables, calls the model, returns the result

Example

import osos.environ["OPENAI_API_KEY"] = "your_token"from langchain_core.prompts import PromptTemplatefrom langchain_openai import ChatOpenAIprompt = PromptTemplate.from_template(    "Explain {topic} in simple words.")llm = ChatOpenAI(    model="gpt-4.1-mini",    temperature=0.5)chain = prompt | llmresponse = chain.invoke({"topic": "Quantum Computing"})print(response.content)

Output

Posted By -	Karan Gupta

Posted On -	Tuesday, May 12, 2026

Query/Feedback

Your Email Id		**

Subject		*

Query/Feedback	Characters remaining 250	**