What is LangChain - Hands-On Activity

What is LangChain

📖 Scenario: You are curious about how to build smart applications that can understand and generate human-like text. LangChain is a tool that helps you connect language models with other data and logic to create powerful apps.

🎯 Goal: Learn what LangChain is by creating a simple example that shows how to set up a language model and use it to generate text.

📋 What You'll Learn

Create a variable called llm that sets up a language model

Create a variable called prompt with a simple text prompt

Use the llm to generate a response from the prompt

Print or return the generated response

💡 Why This Matters

🌍 Real World

LangChain is used to build chatbots, assistants, and apps that understand and generate natural language.

💼 Career

Knowing LangChain helps you work with modern AI tools to create intelligent software solutions.

1

Set up the language model

Create a variable called llm and set it to an instance of OpenAI() from LangChain.

LangChain

# Create a variable called llm and set it to OpenAI()
# Your code here

Need a hint?

Use llm = OpenAI() to create the language model instance.

2

Create a prompt

Create a variable called prompt and set it to the string 'What is LangChain?'.

LangChain

from langchain.llms import OpenAI

llm = OpenAI()

# Create a variable called prompt with the text 'What is LangChain?'
# Your code here

Need a hint?

Set prompt to the exact string 'What is LangChain?'.

3

Generate a response

Create a variable called response and set it to the result of calling llm(prompt).

LangChain

from langchain.llms import OpenAI

llm = OpenAI()
prompt = 'What is LangChain?'

# Generate a response by calling llm with prompt
# Your code here

Need a hint?

Call llm(prompt) and save the result in response.

4

Show the response

Add a line to print the response variable to see the generated text.

LangChain

from langchain.llms import OpenAI

llm = OpenAI()
prompt = 'What is LangChain?'
response = llm(prompt)

# Print the response
# Your code here

Need a hint?

Use print(response) to display the generated answer.