llm
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Enterprise Java
Introduction to HyDE: Hypothetical Document Embeddings for RAG
Retrieval-Augmented Generation (RAG) has become one of the most common approaches for building AI applications that need to work with…
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Enterprise Java
Build a Web Research AI Agent with Lanchain4j and Ollama
Running large language models locally using tools like Ollama fundamentally changes how we build AI applications. It enables fast experimentation,…
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Software Development
Designing Educational Apps with LLMs
Large Language Models (LLMs) have transformed the way educational platforms deliver personalized learning experiences. Instead of simply displaying static lessons,…
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Enterprise Java
Spring AI Agent Skills Example
Large Language Models (LLMs) excel at reasoning, generating natural language, and answering complex questions, but enterprise AI applications require capabilities…
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Enterprise Java
From LLMs to LangChain: Building practical AI Applications
Software development is entering a new phase driven by Large Language Models (LLMs). These models allow developers to move beyond…
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Software Development
Domain-Driven Design Was Written for a World Without LLMs — What Happens to the Ubiquitous Language When the Model Speaks It Better Than Your Team Does?
Eric Evans gave us the Ubiquitous Language as the hardest artifact a team can build. Large language models now absorb…
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Enterprise Java
Spring AI Explainable Agents: Capture LLM Tool Call Reasoning
Explainable AI agents aim to make the decision-making process of large language models (LLMs) transparent, especially when tools are invoked…
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Enterprise Java
Getting Started with TOON Format in Java
Token-Oriented Object Notation (TOON) is a modern data serialization format designed to represent structured data in a compact, human-readable, and…
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