Answer: Knowledge Bases for Amazon Bedrock

## Explanation **Knowledge Bases for Amazon Bedrock** is the correct answer because it provides the capability to: - **Automatically index** documents stored in Amazon S3 - **Convert content into embeddings** for semantic search - **Enable retrieval-augmented generation (RAG)** for chatbots - **Connect to various data sources** including S3 buckets ### How it works: 1. Documents are automatically ingested from Amazon S3 2. Content is chunked and converted into vector embeddings 3. Embeddings are stored in a vector database 4. The chatbot can then query this knowledge base to retrieve relevant information ### Why other options are incorrect: - **Agents for Amazon Bedrock**: Focuses on orchestrating multi-step tasks and API calls, not document indexing - **Model Evaluation for Amazon Bedrock**: Used for testing and comparing model performance - **Guardrails for Amazon Bedrock**: Provides content filtering and safety controls, not document processing This feature enables the chatbot to access and reference internal policies stored in S3, making it contextually aware of company-specific information.

Author: Ritesh Yadav