Erzeugung eines Unidateiten Wissensgraphen aus Multimodalen Datenquellen unter Verwendung Kollaborativer Grosser Sprachmodelle mit mehreren Agenten

Details

Veröffentlichungs-Nr.

EP4718275

Anmeldetag

16. September 2025

Veröffentlichung

1. April 2026

Rechtsraum

EP

Abstract

Existing multi-agent system are employed collaboratively, where each agent specialized in extracting entities, relations, or events from documents which is a more generalized collaborative framework without specific customizations. The disclosed method presents a collaborative multi-agent knowledge graph Retrieval-Augmented Generation (RAG) framework using a plurality of collaborative multi-agent LLMs for extracting information from a plurality of multimodal documents and constructing the unified knowledge graph to facilitate accurate and efficient query-based retrieval. A query generator agent generates a plurality of queries that aim to uncover all possible information present in the plurality of multimodal documents. A domain model is generated by a domain model generator agent based on the plurality of queries. The domain model populator agent populates the domain model with data extracted from the plurality of multimodal documents. A unified knowledge graph is constructed from ta plurality of populated domain models and organizes the extracted information for accurate retrieval.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien