Web
AI Research & Open Web Technologies for Museums, Archives, Libraries, and Cultural Heritage
This is an independent research and experimentation initiative, not a commercial service.
If you are exploring ideas and would benefit from an outside perspective or prototype collaboration, please feel free to reach out.
No obligations.
Start a ConversationWe support museums, archives, and cultural institutions with digital infrastructure that empowers discovery. Less manual friction, more time for storytelling, stewardship, and shared knowledge.
Research Project:
LinkedCulture
LinkedCulture is a modular open-source platform designed to help museums, archives, and libraries enrich, connect, and explore their collections. By combining human expertise with AI-driven enrichment, it transforms isolated records into a unified, searchable network of cultural knowledge.
Built on open-source infrastructure: featuring resident AI models, knowledge graphs, vector search, and agent-powered workflow automation to support discovery, storytelling, and cross-institutional collaboration.
Online search and discovery tools will be available here in mid 2025, with a public beta planned for the fall. Look for an announcement on LinkedIn.
Workflow
From Raw Data to Public Insight
Ingest
APIs, CMS, or bulk files
Systems:
Drupal, n8n, Python
Enrich
AI-driven tagging and linking
Systems:
n8n, OpenAI/Ollama, LangChain
Structure
Graphs + vectors
Systems:
Neo4j, Qdrant
Curate
Manual review + edits
Systems:
Drupal UI, Flags, Revisions
Discover
Search, map, and AI chat
Systems:
Next.js, JSON:API, Obelisk
about Your Project
LinkedCulture
System Relationship Diagram
This system diagram visualizes how the Web CMS, n8n / Python Automations, Graph Database, Vector Database,
and Ollama coordinate in a human-in-the-loop AI architecture.