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@xuanleilin xuanleilin released this 15 Jan 09:53
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v0.1.11
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TigerGraphX v0.1.11 – Initial Release

We are excited to announce the initial release of TigerGraphX version 0.1.11! This release marks the first step in delivering a robust connector designed to integrate seamlessly with TigerGraph databases for Graph-Powered RAG workflows.

Key Features

1. Schema Management

  • Easily create and modify schemas using YAML, JSON, or Python dictionaries.
  • No GSQL knowledge is required.
  • Pythonic tools for designing database structures effortlessly.

2. Data Loading

  • Automated loading jobs for streamlined data imports.
  • High-efficiency workflows with support for Parquet files.
  • Simplified data ingestion processes for faster setup.

3. Graph Library Interface

  • Python-native APIs for CRUD operations.
  • Comprehensive tools for graph reporting and visualization.
  • Built-in graph algorithms including centrality, community detection, and path analysis algorithms

4. Graph Query Interface

  • Simplified advanced querying with intuitive APIs.
  • Seamless integration into analytics workflows via DataFrame outputs.
  • Support for advanced multi-hop query traversal and manipulation

5. Vector Search Capabilities

  • AI-driven applications with integrated vector embeddings.
  • Efficient top-K entity retrieval for enhanced intelligence.
  • Ideal for recommendation systems and contextual analysis.

6. LLM Integration and GraphRAG support

  • Full support for GraphRAG workflows.
  • Flexible, token-aware context builders for advanced applications.
  • Tools for token optimization and seamless LLM integration.

7. Machine Learning Ready [Planned Feature]

  • Seamless integration with popular ML libraries
  • Graph feature extraction
  • Native support for graph neural networks (GNNs)

Getting Started

To begin using TigerGraphX, please refer to our documentation for installation instructions and usage examples. We encourage you to try out the connector and provide feedback, report issues, or suggest new features via our GitHub repository.

Thank you for choosing TigerGraphX — we look forward to evolving this project with your insights and contributions.

Start unlocking the power of graphs with TigerGraphX today!

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