MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
Understanding LLM Hallucinations: Causes, Detection, and Prevention
LLM hallucinations—confidently wrong answers—are the most critical reliability challenge in production AI. Learn why they happen, how to detect them, and architectural strategies to minimize them.
AI Agents and Tool Use: Building Autonomous Workflows with LangGraph
LangGraph enables stateful, multi-step AI agent workflows with cyclic graphs. Learn how to build reliable autonomous agents that use tools, handle errors, and maintain state.
Prompt Engineering: Advanced Techniques for Production LLM Applications
Prompt engineering is the art of communicating with LLMs effectively. Learn chain-of-thought prompting, few-shot examples, structured output, and prompt injection prevention for production systems.
Building Production RAG Pipelines with LangChain and PostgreSQL pgvector
How to build Retrieval-Augmented Generation (RAG) systems that ground LLM responses in private documents using LangChain orchestration and PostgreSQL's pgvector extension.
Quantization Techniques for LLMs: FP16 to INT4 and GPTQ
Deploying LLMs on local hardware requires massive memory footprint reductions. Learn how post-training quantization techniques like GPTQ and GGUF compress models from FP16 to INT4.
Building Multi-Agent AI Systems with CrewAI
Multi-agent AI systems assign specialized roles to different LLM agents that collaborate to complete complex tasks. Learn how CrewAI orchestrates agent crews for research, writing, code review, and more.