Articles → LANGCHAIN → Llmchain In Langchain
Llmchain In Langchain
Purpose
- 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 os
os.environ["OPENAI_API_KEY"] = "your_token"
from langchain_core.prompts import PromptTemplate
from langchain_openai import ChatOpenAI
prompt = PromptTemplate.from_template(
"Explain {topic} in simple words."
)
llm = ChatOpenAI(
model="gpt-4.1-mini",
temperature=0.5
)
chain = prompt | llm
response = chain.invoke({"topic": "Quantum Computing"})
print(response.content)
Output
| Posted By - | Karan Gupta |
| |
| Posted On - | Tuesday, May 12, 2026 |