Cover image for the article 'Guide: Exposing Enterprise Data with Java and Spring for AI Indexing (for NLWeb)' featuring the Java and Spring logos prominently displayed alongside AI and NLWeb branding elements. The design includes a graph database visualization with interconnected nodes, symbolizing knowledge graphs and semantic data. A modern, professional aesthetic with a blue and white color scheme highlights the integration of Schema.org datatypes, JSON-LD, and OrientDB for enterprise data solutions. The background incorporates subtle binary code patterns, emphasizing AI-driven indexing and the semantic web for NLWeb’s conversational interfaces.
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.
NLweb the next semantic web
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.
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