Build a Semantic Layer from GCP with Neocarta

The text discusses building a graph-based semantic layer using Neocarta, a tool from Neo4j Labs, to enhance agentic applications by improving data understanding and relationship mapping. This approach involves using the Neocarta Python library to create a semantic layer graph in Neo4j from data in GCP BigQuery and Knowledge Catalog, which can then be utilized by agents for insights through the Neocarta MCP server. The semantic layer's architecture is designed to integrate various data sources, including databases and query logs, to form a comprehensive data map, with metadata and glossary components to support advanced search patterns. The guide provides a walkthrough for setting up the environment and executing queries to demonstrate how agents can leverage the semantic layer to answer complex data-related questions, aiming to facilitate a deeper understanding of enterprise data landscapes while promoting ongoing development and community engagement through GitHub.

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