A company needs to deploy a chatbot to answer common questions from customers. The chatbot must base its answers on company documentation. Which solution will meet these requirements with the LEAST…

Amazon Kendra is an intelligent enterprise search service specifically designed to provide highly accurate answers to natural language questions from various unstructured and structured data sources, making it the ideal solution for a documentation-based chatbot with minimal development effort.

Training a custom Bidirectional Attention Flow (BiDAF) network requires significant machine learning expertise, data preparation, and development effort, which contradicts the goal of achieving the solution with the least development effort.

Amazon SageMaker BlazingText is a built-in algorithm primarily for word embeddings, text classification, and sentiment analysis, and it is not designed to directly power a natural language question-answering chatbot over documentation.

While Amazon OpenSearch Service is a robust search engine, integrating it with a chatbot for natural language question answering from documents requires substantial custom development for semantic search and answer extraction capabilities, unlike the out-of-the-box functionality offered by Amazon Kendra.