Learn how JSON-LD and Schema.org enhance RAG and NLWeb with structured data. Discover howto use markdown for AI training data, boosting SEO, and creating a digital AI twin.
Discover how to expose enterprise data for AI indexing with Java and Spring using the jsonld-schemaorg-javatypes library for NLWeb. Learn to leverage Schema.org, JSON-LD, and OrientDB for semantic search, knowledge graphs, and interoperability, with sustainable Fair Code licensing.
Discover how NLWeb, Microsoft’s open-source protocol from Build 2025, transforms websites into AI-powered knowledge hubs. This comprehensive guide covers setup, data optimization with the A-U-S-S-I framework, Azure deployment, and chatbot integration. Explore use cases for news agencies and blockchain AI agents, code generation for logistics and licensing, and NLWeb’s future in internationalization and voice search. Learn its strengths, challenges, and potential to redefine web interactions.
The public transport data sparsity from our previous article led to our attempt in finding more answers using heatmaps to zoom in to the limited data we have.
Here's how we familiarised ourselves with the public transport people counting data set we received.
Here's an introduction to a data-driven solution we've been working on: Fahrbar.
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