Webinar
Insurance, Legal, Manufacturing - How Previsant Connects AI Agents and Context Graphs Across Domains with Memgraph
AI applications rarely fail because teams lack tools. They fail because the tools stay disconnected. Documents live in one system, structured data in another, agents run in separate workflows, and lineage is hard to trace.
In this Community Call, Previsant joins Memgraph to showcase how itsAdaptive Intelligence Platform connects unstructured documents, structured data, AI agents, MCP, vector retrieval, and Memgraph across multiple domains.
You’ll see live demos covering insurance claims research and cross-system data lineage, including how extracted entities and relationships are stored in Memgraph, how document chunks remain in ChromaDB, and how hybrid queries combine both layers.
What’s in the Webinar?
What You’ll Learn
In this Community Call, Previsant joins Memgraph to showcase how itsAdaptive Intelligence Platform connects unstructured documents, structured data, AI agents, MCP, vector retrieval, and Memgraph across multiple domains.
You’ll see live demos covering insurance claims research and cross-system data lineage, including how extracted entities and relationships are stored in Memgraph, how document chunks remain in ChromaDB, and how hybrid queries combine both layers.
What’s in the Webinar?
- Why traditional databases limit workforce analytics
- How NASA built a skills graph using Memgraph and LLMs
- Live demo: Querying a skills knowledge graph using LLM-extracted data for insights
- A look at NASA’s new GraphRAG chatbot interface powered by Memgraph
What You’ll Learn
- How Previsant uses Memgraph in production AI workflows
- Live demo: GraphRAG for insurance claims research
- Live demo: agent-driven lineage across systems
- How RAG, graph queries, and hybrid queries work together
