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The multi-modal combination delivers deeper learning and insights, Graph RAG for smarter AI, and super fast response times
Redwood City, Calif. – March 4, 2025 – TigerGraph, the enterprise AI infrastructure and graph database leader, has announced a groundbreaking advancement in hybrid search technology by integrating graph and vector search into a unified platform. This next-generation solution is designed to revolutionize data anomaly detection, pattern recognition, and AI-driven insights. With unparalleled speed and accuracy, TigerGraph’s enhanced capabilities equip enterprises with powerful tools for fraud detection, personalized recommendations, and image or multimedia search.
Simultaneously, TigerGraph is rolling out its Community Edition, an offering that brings substantial compute power and storage to users at no cost, enabling broader access to enterprise-grade graph database solutions.
TigerGraph’s latest vector search innovation pushes the boundaries of AI and machine learning applications by leveraging the unique advantages of graph databases. By embedding real-time data relationships into AI models, GraphRAG enhances personalization, explainability, and overall intelligence in AI-driven decision-making. This integrated approach simplifies the operational complexity of AI while reducing infrastructure and code overhead, ensuring seamless security and reliability for enterprises.
Key Advantages of TigerGraph Vector Search:
- 5.2x faster vector searches with a 23% improvement in recall rates compared to competing solutions. This ensures rapid similarity searches while optimizing resource efficiency, leading to significant cost reductions.
- 6x faster indexing speeds, allowing for near-instantaneous loading and continuous updates of search indexes. This guarantees accurate results even when working with expansive datasets and evolving information.
- Hybrid search for structured and unstructured data, empowering AI and ML applications to achieve deeper contextual understanding and greater analytical accuracy.
- Advanced relationship modeling, supporting complex entity relationships to create highly sophisticated knowledge graphs.
- Integrated query language support, enabling seamless hybrid graph and vector queries through GSQL, alongside Python library support for vector database operations.
Community Edition: The Most Powerful Free Graph Database for Production Use
TigerGraph’s Community Edition introduces unprecedented accessibility to enterprise-grade graph database capabilities. Key features include:
- 16 CPUs of compute power, delivering exceptional performance for AI and analytics workloads.
- 200 GB of graph storage and 100 GB of vector storage, empowering users to develop and deploy AI-driven applications with ease.
- A robust open-source AI/ML library, facilitating the creation of graph + vector solutions, including GraphRAG.
- Support for GSQL, OpenCypher, and ISO GQL, offering the most extensive query language compatibility available in the industry.
“We’re continuing to lead the way in delivering the industry’s fastest, most scalable analytics for AI and machine learning users,” said Rajeev Shrivastava, CEO of TigerGraph. “The engineer in me is excited to put these solutions directly into the hands of developers who are building mission-critical, AI-dependent products that improve their customers’ lives.”
Experience Hybrid Search with Community Edition
Users can begin leveraging TigerGraph’s Hybrid Search technology today through the Community Edition. To gain deeper insights into the technical advancements powering this innovation, readers can explore TigerGraph’s blog and the SIGMOD 2025 paper.
Building upon the momentum of TigerGraph Savanna, the most advanced cloud-native graph database platform designed to accelerate AI capabilities, TigerGraph continues to set the industry benchmark for enterprise-grade graph database solutions. By enabling organizations to uncover intricate relationships, analyze complex data patterns, and make critical real-time decisions, TigerGraph cements its leadership as a trusted partner for AI-driven innovation.
