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# PGX Samples
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# Oracle Graph
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PGX (Parallel Graph AnalytiX) is a graph toolkit that provides a graph query language, optimized analytics algorithms, and machine learning support to extract insights hidden in the connections across datasets at high-performance and extreme scale.
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Graphs enable you to find connections and explore relationships in your data. Oracle Graph is an AI-ready, integrated feature of Oracle's converged database that eliminates the need for a separate graph database and data movement. Analysts and developers can address various use cases, including financial fraud detection and manufacturing traceability, while gaining enterprise-grade security, ease of data ingestion, and strong support for operational workloads.
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While graphs have become ubiquitous nowadays as the backbone of multiple applications - from search engines and recommender systems to intelligent chatbots, PGX enables fast graph analysis on such industry-scale graphs (with trillions of edges) to reveal latent information between linked entities.
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## Table of contents:
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## Table of contents
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- [Built-in Algorithms](./built-in-algorithms/README.md)
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- [23ai Graph Demos](./23c-graph-demos)
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- [ADB Client for Jupyter](./adb-client-jupyter/adb-client-on-jupyter-notebook.ipynb)
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- [Oracle Graph Studio Conda Interpreter](./graph-studio-conda-interpreter)
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- [Oracle Graph Visualization Demo Application](./graphviz-demo/README.md)
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- [PGQL on RDBMS Samples](./bank-graph-rdbms-samples/README.md)
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## Contributing
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## License
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Copyright (c) 2019, 2024 Oracle and/or its affiliates.
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Copyright (c) 2019, 2025 Oracle and/or its affiliates.
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Released under the Universal Permissive License v1.0 as shown at
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<https://oss.oracle.com/licenses/upl/>.

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