SYSTEMS AND METHODS FOR PROCESSING, MANAGING, AND INTERPRETING DIGITAL CULTURAL DATA INTEGRATED WITH ARTIFICIAL INTELLIGENCE TO ENHANCE RETRIEVAL FOR DEEP CULTURE PLATFORMS

Abstract

The invention relates to a system and method for processing, managing, and interpreting AI-RAG-integrated digital cultural data for a Deep Culture platform. The system comprises a data acquisition and normalization subsystem, a structured data warehouse, a graph / vector database, a source-copyright-verification-state-version management subsystem, an AI-RAG subsystem, maps-timelines-journals, community contributions, and a backoffice. Each cultural entity is assigned an identifier, metadata, source, usage rights, verification status, relationship, coordinates, timeline, and version history. Upon querying, the system filters data by status and usage rights, retrieves semantics, generates source-cited responses, and synchronizes the index when data changes.

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