AWS Certified Cloud Practitioner

Explanation:

Bedrock Knowledge Bases (RAG) is the correct answer because it's specifically designed for this use case. Here's why:

1. RAG (Retrieval-Augmented Generation): This is a technique that allows AI models to retrieve relevant information from external knowledge bases and use that information to generate more accurate and context-aware responses.

2. Integration with S3: Bedrock Knowledge Bases can connect to Amazon S3 buckets to access and index documents stored there, making it perfect for using internal knowledge bases.

3. Chatbot Applications: This capability enables building chatbots that can answer questions based on proprietary company data, internal documentation, or any knowledge base stored in S3.

Bedrock Provisioned Throughput is incorrect because it's a pricing model that allows you to purchase dedicated throughput capacity for model inference, not a capability for building knowledge-based chatbots.

Key Benefits of Bedrock Knowledge Bases:

• Secure access to company data

• Accurate responses based on your specific content

• No need to retrain models - uses existing foundation models

• Supports various document formats (PDF, Word, Excel, text files, etc.)

• Automatic document processing and chunking

• Semantic search capabilities to find relevant information

This makes Bedrock Knowledge Bases the ideal solution for building intelligent chatbots that leverage internal company knowledge stored in S3.