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A company wants to enable its Bedrock-based chatbot to access internal policies stored in Amazon S3. The content must be automatically indexed and converted into embeddings. Which Bedrock feature provides this capability?
A
Knowledge Bases for Amazon Bedrock
B
Agents for Amazon Bedrock
C
Model Evaluation for Amazon Bedrock
D
Guardrails 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
Documents are automatically ingested from Amazon S3
Content is chunked and converted into vector embeddings
Embeddings are stored in a vector database
The chatbot can then query this knowledge base to retrieve relevant information
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.