Answer: Amazon Bedrock Knowledge Bases

**Explanation:** Amazon Bedrock Knowledge Bases is the correct answer because it is specifically designed for Retrieval-Augmented Generation (RAG) applications. Here's why: 1. **Automatic Document Processing**: Amazon Bedrock Knowledge Bases automatically handles document ingestion, chunking, and embedding generation for RAG workflows. 2. **Embedding Generation**: It generates embeddings using foundation models and stores them in a vector database, making it easy to retrieve relevant information for RAG applications. 3. **Managed Service**: It's a fully managed service that abstracts away the complexity of setting up RAG infrastructure, including chunking strategies and embedding models. 4. **Comparison with other options**: - **Amazon Comprehend**: A natural language processing service for text analysis, but doesn't handle document chunking and embedding generation for RAG. - **Amazon Kinesis**: A service for real-time data streaming and analytics, not related to RAG document processing. - **Amazon Polly**: A text-to-speech service, completely unrelated to RAG document processing. Amazon Bedrock Knowledge Bases provides an end-to-end solution for building RAG applications by handling the entire document processing pipeline from ingestion to retrieval.

Author: Ritesh Yadav