Door To Online Blog

A practical guide to Google's EmbeddingGemma: matryoshka text embeddings designed for phones, Raspberry Pi, and edge devices—plus code examples, benchmarks, and build tips.

Learn how to build production-ready RAG systems with reliable retrieval, solid evaluation, smarter chunking, hybrid search, reranking, and fine-tuning—plus actionable patterns to ship with confidence.

Most enterprise data lives in PDFs, DOCX, and HTML. Here’s how Docling turns messy, unstructured files into clean, AI-ready context that improves RAG accuracy and reliability.

Build and ship internal knowledge and document-extraction apps in days, not months. A modular, Kubernetes-native approach with sandboxed iteration, LLM strategy, and a secure app factory.

Explore how Knowledge Augmented Generation (KAG) surpasses traditional RAG systems by integrating structured knowledge graphs with expert decision-making processes for enterprise AI applications.

Learn how RAG, fine-tuning, and prompt engineering improve LLM answers. See how they work, trade-offs, and practical steps to pick, combine, and implement them.

Discover how to build resilient AI systems that survive rapid model changes by applying software engineering principles and avoiding premature optimization in the age of weekly LLM releases.

A comprehensive comparison of OpenAI's GPT-5 and Anthropic's Opus 4.1 in a real-world coding challenge, building a functional Kanban task tracker to determine which AI model truly excels at software development.

An in-depth analysis of GPT-5's programming capabilities, benchmark performance, and whether it lives up to OpenAI's claims of PhD-level intelligence for developers.

Comprehensive analysis of ChatGPT-5's performance improvements, unified model architecture, and practical applications compared to previous AI models.