Databricks Generative AI Engineer Associate Question 200
Select 4You are tasked with building a simple chain using LangChain that takes a user-provided question, retrieves relevant documents from a vector store, and generates an answer using an LLM. Which of the following steps are necessary to code this chain?
- A
Initialize a vector store with pre-embedded documents.
- B
Create a Retrieval-based Question Answering (QA) chain.
- C
Load a pre-trained language model into the chain.
- D
Configure a prompt template for the chain.
- E
Set up a database connection for storing the chain's results.
Show answer and explanation
Correct answers: A, B, C, D
Explanation
To build a simple chain using LangChain, the required steps include initializing a vector store for document retrieval, creating a Retrieval-based QA chain, loading a pre-trained language model, and optionally configuring a prompt template to structure queries. Storing results in a database is not mandatory for the chain's functionality but can be an additional feature for specific use cases.
- A. Correct.
Correct: A vector store is required to store and retrieve documents based on the user's query. This is a key component of many LangChain pipelines.
- B. Correct.
Correct: A Retrieval-based QA chain is essential for combining document retrieval with a language model to generate answers.
- C. Correct.
Correct: Loading a pre-trained language model, such as OpenAI's GPT, is required to process user queries and generate responses.
- D. Correct.
Correct: Configuring a prompt template ensures that the model receives the query in the correct format, which is a common practice in LangChain workflows.
- E. Incorrect.
Incorrect: While storing results in a database can be useful in some applications, it is not a required step for coding the simple chain described in this scenario.