by Tim

NLWeb’s AI Demystified: How an Example Query is Processed in NLWeb

Explore the NLWeb search prototype’s query processing pipeline in this detailed NLWeb example, showcasing how it handles "Find vegetarian recipes for Diwali" with prior context. Learn from flowcharts and insights drawn from the NLWeb GitHub repository, illustrating the system’s use of AI, Schema.org, and vector search to deliver precise results.
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Kraken illustration of NLWeb, featuring the Kubernetes (K8s) logo prominently displayed. The octopus-like creature with eight tentacles is set against a deep blue underwater background, symbolizing NLWeb's strength and versatility in web development and tech solutions. Perfect for searches related to NLWeb, Kubernetes, and innovative technology.
by Chris

NLWeb Deployment in Kubernetes GitOps Style with FluxCD

NLWeb is revolutionizing web development by integrating advanced machine learning and AI, as showcased in recent insights. Picture NLWeb as a powerful kraken, its tentacles infused with the Kubernetes (K8s) logo, symbolizing the robust infrastructure behind these AI-driven solutions. NLWeb delivers dynamic, intelligent websites that adapt and evolve, offering unparalleled user experiences.
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Augmented reality view of a tech workspace featuring the Markdown document "How JSON-LD and Schema.org Can Improve RAGs and NLWeb" displayed as holographic panels. A glowing brain hologram with pulsating synapses floats in front of a laptop screen, with radiant lines connecting the brain to the content, symbolizing AI-driven understanding. The NLWeb logo and vector search visuals overlay the screen, while a knowledge graph hologram connects a notebook labeled "Project X" on the desk to digital entities. This futuristic AR scene illustrates transforming markdown to JSON-LD for AI training data, enhancing structured data for NLWeb, and creating a digital AI twin.
by Tim

How Markdown, JSON-LD and Schema.org Improve Vectorsearch RAGs and NLWeb

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.
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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.
by Tim

Guide: Exposing Enterprise Data with Java and Spring for AI Indexing (for NLWeb)

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.
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NLweb the next semantic web
by Chris

Guide: How to Use NLWeb to Unleash AI-Powered Websites

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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