Introduction: Embeddings are the foundation of modern AI applications—they transform text, images, and other data into dense vectors that capture semantic meaning. Understanding how embedding models work, their strengths and limitations, and how to choose between them is essential for building effective search, RAG, and similarity systems. This guide covers the landscape of embedding models: […]
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Google Agent Development Kit (ADK): Building Your First AI Agent – Part 1 of 5
Learn how to build production-ready AI agents with Google Agent Development Kit (ADK). This comprehensive tutorial covers architecture fundamentals, setup, and your first search assistant agent with C4 diagrams, code examples, and deployment strategies.
Read more →International Patient Summary (IPS): Cross-Border Healthcare in the EU
The EU Cross-Border Healthcare Challenge EU eHealth Digital Service Infrastructure (eHDSI) IPS FHIR Bundle Structure Generating IPS in .NET Ireland’s Participation in eHDSI EU Member State Participation Standards and References Related Articles in This Series Conclusion
Read more →Cloud Spanner Deep Dive: Building Globally Distributed Databases That Never Go Down
Introduction: Cloud Spanner represents a breakthrough in database technology—the world’s first horizontally scalable, strongly consistent relational database that spans continents while maintaining ACID transactions. This comprehensive guide explores Spanner’s enterprise capabilities, from its TrueTime-based consistency model to multi-region configurations and automatic sharding. After architecting globally distributed systems across multiple database technologies, I’ve found Spanner uniquely […]
Read more →AKS Workload Identity
AKS workload identity is a feature of Azure Kubernetes Service (AKS) that enables you to use Azure Active Directory (AAD) to manage access to Azure resources from within a Kubernetes cluster. In this blog post, we’ll explore how AKS workload identity works and how to use it with an example code. How does AKS workload […]
Read more →LlamaIndex: The Data Framework for Building Production RAG Applications
Introduction: LlamaIndex (formerly GPT Index) is the leading data framework for building LLM applications over your private data. While LangChain focuses on chains and agents, LlamaIndex specializes in data ingestion, indexing, and retrieval—the core components of Retrieval Augmented Generation (RAG). With over 160 data connectors through LlamaHub, sophisticated indexing strategies, and production-ready query engines, LlamaIndex […]
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