AI Engineering: engineering articles and technical guides
Production AI systems: agent orchestration, RAG retrieval, vector search and LLM API integration.
AI Engineering
Semantic Caching for LLMs: When It Cuts Costs and When It Lies
Prompt caching discounts repeated prefixes; semantic caching skips the call entirely but can serve the wrong answer. Here is how to use each safely.
8 min read · AI Engineering
AI Engineering
Strict Tool Calling for AI Agents: Schemas, Validation and Recovery
Strict schemas constrain the shape, validation enforces the rules, and a bounded recovery loop decides what happens when either fails.
9 min read · AI Engineering
AI Engineering
RAGAS Evaluation: Measuring Faithfulness and Context Precision
Separate retrieval failures from generation failures, using the current RAGAS API, a golden set in CI and reference-free metrics on live traffic.
8 min read · AI Engineering
AI Engineering
Hybrid Search for RAG: Semantic Chunking, BM25 and Vector Fusion
Why dense and keyword retrievers fail in opposite directions, how to chunk so either can find the right passage, and how to fuse the results.
9 min read · AI Engineering
AI Engineering
Integrating OpenAI & Claude APIs into Enterprise Web Applications
Proven engineering patterns for streaming LLM responses, structured JSON schema validation, fallback routing, and token cost optimization.
6 min read · AI Engineering
AI Engineering
Building Autonomous AI Agents with Next.js, LangChain, and Vector Databases
Architecting production-ready AI agent workflows with multi-turn tool execution, RAG search, and streaming React frontends.
8 min read · AI Engineering