Answer: Knowledge Bases for Amazon Bedrock (RAG)

## Explanation **Knowledge Bases for Amazon Bedrock (RAG)** is the correct approach because: - **RAG (Retrieval-Augmented Generation)** is specifically designed to make external data sources searchable by AI models - Knowledge Bases can connect to Amazon S3 to index and retrieve documents - It enables the chatbot to search through large collections of academic papers stored in S3 - Provides semantic search capabilities across the document repository **Why other options are incorrect:** - **A) Ground Truth + Bedrock**: Ground Truth is for creating labeled datasets for machine learning, not for making existing documents searchable - **C) Bedrock Fine-Tuning**: Fine-tuning trains models on specific data but doesn't provide search functionality across document collections - **D) Bedrock Guardrails**: Guardrails are for content safety and filtering, not for document search capabilities Knowledge Bases with RAG is the AWS service specifically designed for this use case of making S3-stored documents searchable through AI chatbots.

Author: Ritesh Yadav