Abstract data access logic behind a clean interface for testability and flexibility.
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A Comprehensive Guide to Provisioning AWS ECR with Terraform
Introduction: Amazon Elastic Container Registry (ECR) is a fully managed container registry service provided by AWS. It enables developers to store, manage, and deploy Docker container images securely. In this guide, we’ll explore how to provision a new AWS ECR using Terraform, a popular Infrastructure as Code (IaC) tool. We’ll cover not only the steps […]
Read more →Advanced Retrieval Strategies for RAG: The Complete Guide to Dense, Hybrid, and Multi-Stage 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, […]
Read more →Tips and Tricks – Implement Structured Logging for Observability
Use structured JSON logging for better searchability and analysis in cloud environments.
Read more →Prompt Templates and Versioning: Building Maintainable LLM Applications
Introduction: Production LLM applications need structured prompt management—not ad-hoc string concatenation scattered across code. Prompt templates provide reusable, parameterized prompts with consistent formatting. Versioning enables A/B testing, rollbacks, and tracking which prompts produced which results. This guide covers practical prompt template patterns: template engines and variable substitution, prompt registries, version control strategies, A/B testing frameworks, […]
Read more →Prompt Optimization Strategies: From Structure to Automatic Refinement
Introduction: Prompt optimization is the systematic process of improving prompts to achieve better LLM outputs—higher accuracy, more consistent formatting, reduced latency, and lower costs. Unlike ad-hoc prompt engineering, optimization treats prompts as artifacts that can be measured, tested, and iteratively improved. This guide covers the techniques that make prompts more effective: structural patterns that improve […]
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