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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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React.js
Avoiding Common Pitfalls with useCallback and useMemo in React
Modern React development encourages performance optimization, and two hooks that often come up are useCallback and useMemo. While these hooks…
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Enterprise Java
Building a Document Q&A RAG AI Assistant with LangChain4j
Large Language Models have transformed how applications interact with users, but they come with a major limitation: they do not…
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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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JavaScript
Understanding JSON Schema
JSON (JavaScript Object Notation) has become the backbone of modern software systems. It is used everywhere, from APIs and microservices…
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JavaScript
Getting Started with TensorFlow.js: Running Machine Learning Models in the Browser
Building AI applications no longer requires powerful backend infrastructure or specialised hardware. With advances in browser technologies, developers can now…
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Software Development
Designing Reliable AI Agent Systems
Over the past few years, artificial intelligence has evolved from a largely experimental research field into a fundamental part of…
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Software Development
Improving RAG Retrieval with Contextual Embeddings and Hybrid Search
Retrieval-Augmented Generation (RAG) has reshaped how modern AI systems are designed by allowing language models to access external knowledge at…
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JavaScript
How to Wait for Dynamic Content in Selenium Without Delays
Modern web applications are no longer simple HTML pages served from a server and rendered once in the browser. Instead,…
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