NODES AI 2026 – Fusing NLP and Graph: Building a Conversational Agent for Enriched Financial Data

Join Alix de Cremoux, Gabriel Laffitte at NODES AI for this session: “Fusing NLP and Graph: Building a Conversational Agent for Enriched Financial Data”.

In this session, we share our experience of building an interactive, context-aware knowledge graph by combining structured corporate data with unstructured financial reports. We begin with relational corporate data, such as company hierarchies, and enrich it using a Natural Language Processing (NLP) pipeline that extracts novel entities and relationships from textual reports. The final stage introduces a conversational AI agent that uses this enriched graph as its semantic long-term memory, enabling intuitive exploration of complex financial data. Through this presentation, we’ll discuss the challenges, insights, and outcomes from fusing structured and unstructured data in financial analysis, and how this approach can push the boundaries of financial intelligence.

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