The latest release brings a major leap forward in semantic search performance for enterprise knowledge graphs. The similarity search is faster, smarter, and always current — ensuring your applications can reason over the latest data with zero manual effort.
The biggest improvement in Graphwise’s GraphDB 11.2 is the introduction of automatically updated similarity indexes, fully integrated with both Elasticsearch and OpenSearch connectors.
These indexes now stay in sync with your knowledge graph at all times, meaning every similarity query reflects the most recent state of your data, no delays, no stale results.
Smarter similarity search with zero maintenance
Previously, similarity searches required manual reindexing using scripts or scheduled jobs. GraphDB 11.2 removes this operational overhead entirely:
- Continuously refreshed similarity indexes
- No more periodic reindexing
- No external automation needed
The result is a more accurate and maintenance-free semantic search experience, where every query benefits from real-time updates.
Fueling GraphRAG and intelligent agent workflows
Real-time similarity search is a critical building block for GraphRAG scenarios. With GraphDB 11.2:
- AI agents can instantly discover semantically related entities
- Reasoning becomes more contextual and precise
- Integrations like Talk to Your Graph and MCP gain enhanced retrieval capabilities
The release also expands support for Vertex AI and Amazon Bedrock, reinforcing GraphDB’s role as a semantic foundation for enterprise-grade AI applications.
A step toward a unified AI-native platform
GraphDB 11.2 brings Graphwise closer to the vision of an AI-native Graphwise platform, where structured knowledge, unstructured data, and language models operate together seamlessly.
By enabling real-time semantic similarity, this release moves us toward a future where AI agents can understand, navigate, and act on enterprise knowledge graphs with human-like contextual awareness.
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