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Question: 14
You are building a chatbot application using Langchain in Databricks that takes a user's query and provides a response from a language model. You want to deploy a simple conversational chain to respond to user queries. Choose the correct implementation for this chain. Which of the following code snippets correctly implements a conversational chain for chatbot interaction using Langchain?
A
from langchain.chains import SimpleChain
from langchain.llms import OpenAI
llm = OpenAI()
chatbot_chain = SimpleChain(llm)
response = chatbot_chain.run("What is the capital of France?")
print(response)
from langchain.chains import SimpleChain
from langchain.llms import OpenAI
llm = OpenAI()
chatbot_chain = SimpleChain(llm)
response = chatbot_chain.run("What is the capital of France?")
print(response)
B
Explanation:
The correct answer is A because it shows the proper implementation of a conversational chain using Langchain. Here's the detailed explanation:
Why Option A is correct:
SimpleChain and OpenAI)llm = OpenAI())chatbot_chain = SimpleChain(llm))Key Langchain concepts demonstrated:
What makes this implementation correct for a chatbot:
Note: While this is a simplified example, in real-world applications you might use more sophisticated chains like ConversationChain that maintain conversation history, but SimpleChain is valid for basic query-response scenarios.