llm
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Software Development
AI Agent Orchestration Workflows, Routing, and Multi-Agent Systems
AI agents can reason, use tools, retrieve information, and execute tasks. However, complex applications require more than individual agents. They…
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Enterprise Java
A Guide to Structured Output in Spring AI
Large Language Models (LLMs) naturally respond with free-form text. That’s great for a chat interface, but most applications need to…
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Software Development
Semantic Caching for Large Language Models
Large Language Models (LLMs) have transformed the way applications process and generate natural language. They are widely used in chatbots,…
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Software Development
What is vLLM? A Quickstart Guide
Large language models have become easier to integrate into applications, but running them efficiently is still a major engineering challenge.…
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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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