In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses. We'll demonstrate building knowledge graphs from structured and unstructured data, combining graph algorithms (PageRank, Louvain clustering, path optimization) with semantic search, and executing Cypher queries on Parquet and Iceberg formats in Amazon S3. Through code samples and benchmarks, learn advanced architectures to use Neptune for multi-hop reasoning, entity linking, and context enrichment at scale. This session assumes familiarity with graph concepts and data lake architectures.

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