MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
The Future of Generative AI in Healthcare Systems
Exploring how Large Language Models and semantic context-aware assistants are modernizing diagnosis, telemedicine, and record management.
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.
Ethical AI in Healthcare: Bias Detection and Clinical Safety in Diagnostic Models
AI systems can perpetuate and amplify societal biases. Learn how to audit models for bias, apply fairness constraints during training, and build responsible AI governance frameworks.
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.
Vector Databases Compared: Pinecone vs Weaviate vs pgvector
A detailed comparison of three leading vector database solutions—Pinecone, Weaviate, and pgvector—covering performance, scalability, cost, and best-fit use cases.
Building a HIPAA-Compliant Medical Transcription Portal with Flask and Whisper
Build a production-ready AI writing assistant that generates, refines, and SEO-optimizes content. This end-to-end guide covers Flask backend, streaming responses, and a clean JavaScript frontend.