How to Connect AI Agents with Context Graphs Across Domains

Previsant's Adaptive Intelligence Platform is designed to integrate disparate AI tools and data sources into a cohesive architecture that enhances the functionality of AI applications across various domains such as healthcare, insurance, and manufacturing. By leveraging Memgraph as the graph database layer, the platform enables the connection of unstructured documents, structured data, and AI agents, facilitating a comprehensive context layer for querying relationships, rules, and extracted entities. This approach supports knowledge graph applications and cross-system data lineage, allowing users to perform document exploration, relationship analysis, and conflict detection in complex workflows. Through live demos, Previsant demonstrated the platform's capability to assist in insurance claims research and data lineage tracing, showcasing its potential to improve efficiency and transparency in AI workflows by enabling users to inspect, query, and trace data back to its source.

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