Transforming Agentic AI: From Demos to Durable Infrastructure
The journey of agentic AI often starts with captivating demos, but reality hits when it comes to enterprise-scale demands. TrustGraph bridges this gap by making AI robust and scalable, designed with the following core pillars:
- Resilience with Apache Pulsar: Persistent queues ensure automatic recovery and no data loss.
- Graph-Native Semantics: Using RDF and SPARQL, it creates precise and auditable knowledge models.
- Qdrant Vector Search: Enables rapid, reliable similarity searches integrated into workflows.
Key Outcomes for Enterprises:
- Determinism: Reduces query breakdowns with template-driven searches.
- Resilience: Automatic process recovery keeps systems responsive.
- Scalability: Compatible with various hardware stacks, ensuring regulatory compliance.
TrustGraph is revolutionizing how enterprises approach AI, shifting from impressive demos to mission-critical software.
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