AIF-C01 · Question #247
A company is making a chatbot. The chatbot uses Amazon Lex and Amazon OpenSearch Service. The chatbot uses the company's private data to answer questions. The company needs to convert the data into…
The correct answer is C. Text embeddings model. Text embeddings models transform input text into high‑dimensional vector representations, making them ideal for storing and retrieving your private data in a vector database for the chatbot.
Question
A company is making a chatbot. The chatbot uses Amazon Lex and Amazon OpenSearch Service. The chatbot uses the company's private data to answer questions. The company needs to convert the data into a vector representation before storing the data in a database. Which type of foundation model (FM) meets these requirements?
Options
- AText completion model
- BInstruction following model
- CText embeddings model
- DImage generation model
How the community answered
(24 responses)- A4% (1)
- B8% (2)
- C88% (21)
Explanation
Text embeddings models transform input text into high‑dimensional vector representations, making them ideal for storing and retrieving your private data in a vector database for the chatbot.
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