AI World 2 · Grounded Answers · Stage 4

Find the Right Chunk

Retrieve or RetrieveAndGenerate, a metadata filter, a reranker and enough results: the query decides which chunk the model reads.

Retrieve vs RetrieveAndGenerate
Metadata filters
Reranking
Number of results

Domain: AI and machine learning
World: AI World 2: Grounded Answers (Associate)
Game type: Solution board: Drop services into each row's slots, then run records through them.
Time: About 25 minutes on a first attempt (estimated)
Exam guides: MLA-C02Skill 3.1.8: Apply Retrieval Augmented Generation (RAG) system configurations (for example, retrieval strategies, reranking); Skill 3.2.8: Implement retrieval pipelines to meet business needs
AIP-C01Skill 1.4.2: Develop comprehensive metadata frameworks to improve search precision and context awareness for FM interactions (for example, by using S3 object metadata for document timestamps, custom attributes for authorship information, tagging systems for domain classification); Skill 1.5.4: Create advanced search architectures to improve the relevance and accuracy of retrieved information for FM context (for example, by using OpenSearch for semantic search, hybrid search that combines keywords and vectors, Amazon Bedrock reranker models); Skill 1.5.5: Develop sophisticated query handling systems to improve the retrieval effectiveness and result quality for FM augmentation (for example, by using Amazon Bedrock for query expansion, Lambda functions for query decomposition, Step Functions for query transformation); Skill 1.5.6: Create consistent access mechanisms to enable seamless integration with FMs (for example, by using function calling interfaces for vector search, Model Context Protocol [MCP] clients for vector queries, standardized API patterns for retrieval augmentation)