Handle rate limits and transient failures gracefully with exponential backoff.
Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
AWS Bedrock: Building Enterprise Generative AI Applications on AWS
AWS re:Invent 2024 brought significant updates to Amazon Bedrock, and after spending the past month integrating these capabilities into production systems, I want to share what actually matters for enterprise adoption. Having built generative AI applications across multiple cloud platforms over the past two decades, Bedrock represents a meaningful shift in how we can deploy… Continue reading
Model Context Protocol (MCP): Building AI-Tool Integrations That Scale
Introduction: The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to securely connect with external data sources and tools. Think of MCP as a universal adapter that lets AI models interact with your files, databases, APIs, and services through a standardized interface. Instead of building custom integrations for… Continue reading
Data Lakehouse Architecture: Bridging Data Lakes and Data Warehouses
After two decades of building data platforms, I’ve witnessed the pendulum swing between data lakes and data warehouses multiple times. Organizations would invest heavily in one approach, hit its limitations, then pivot to the other. The data lakehouse architecture represents something different—a genuine synthesis that addresses the fundamental trade-offs that forced us to choose between… Continue reading
Tips and Tricks – Implement Idempotent ETL with Merge Statements
Use MERGE (upsert) for safe, rerunnable data pipelines that handle duplicates gracefully.
Azure OpenAI Service with Python: Building Enterprise AI Applications
After spending two decades building enterprise applications, I’ve watched countless “revolutionary” technologies come and go. But Azure OpenAI Service represents something genuinely different—a managed platform that brings the power of GPT-4 and other foundation models into the enterprise with the security, compliance, and operational controls that production systems demand. Here’s what I’ve learned from integrating… Continue reading
Tips and Tricks – Apply Strangler Fig Pattern for Legacy Migration
Gradually replace legacy systems by routing traffic to new implementations incrementally.
Tips and Tricks – Implement Domain Events for Loose Coupling
Use domain events to decouple components and enable reactive architectures.
Tips and Tricks – Apply Repository Pattern for Data Access
Abstract data access logic behind a clean interface for testability and flexibility.
Advanced Retrieval Strategies for RAG: From Dense to Hybrid Search
Introduction: Retrieval is the foundation of RAG systems—the quality of retrieved documents directly impacts generation quality. Different retrieval strategies excel in different scenarios: dense retrieval captures semantic similarity, sparse retrieval handles exact keyword matches, and hybrid approaches combine both. This guide covers advanced retrieval techniques: embedding-based dense retrieval, BM25 and sparse methods, hybrid search strategies,… Continue reading