Blog
Articles, guides, and tutorials on AI applied to business. Prompt engineering, Claude API, AI Act, OPCO funding.
RAG in Production 2026: Complete Guide with Real Benchmarks
Complete technical guide for implementing RAG in production. Chunking, embeddings, vector databases, reranking, monitoring. Real benchmarks, Python/TypeScript code.
10 Ready-to-Deploy n8n AI Workflows for 2026
Practical guide with 10 copy-paste n8n workflows powered by AI. Lead qualification, automated emails, document processing, support triage, meeting summaries. Complete setup, cost estimates.
CrewAI vs LangGraph vs AutoGen: Which Multi-Agent Framework in 2026?
Complete technical comparison of the 3 leading multi-agent AI frameworks. Architecture, code examples, use cases, performance benchmarks, production costs.
MCP in Practice: 5 MCP Servers to Deploy Today
Practical tutorial with 5 production-ready MCP server examples. Secure filesystem MCP, PostgreSQL MCP with pooling, REST API MCP with auth, custom web scraper, multi-tool MCP. Complete code, deployment, troubleshooting.
Pinecone vs Qdrant vs Chroma: Vector Database Comparison 2026
Complete technical comparison of the 3 leading vector databases for RAG and semantic search. Architecture, performance benchmarks, cost analysis, Python/TypeScript examples, deployment complexity, decision matrix, migration case study.
Fine-Tuning vs RAG vs Prompt Engineering: Which Choice in 2026?
Technical comparison to help AI engineers and CTOs choose the right approach. Decision tree based on your constraints, detailed cost analysis, 5 real production cases, performance benchmarks, hybrid architecture (RAG + few-shot prompting).
AI Cost Optimization 2026: From €5000 to €500/month
Practical guide to reduce your AI infrastructure costs by 90%. Redis semantic caching, prompt optimization, Ollama hybrid architecture, n8n batch processing. Real case: SaaS going from €5000 to €500/month.
Ollama in Production 2026: Complete Deployment Guide
Deploy Ollama in production for local LLM inference. AWS setup, Docker Compose, model selection, performance benchmarks, cost comparison vs cloud APIs.
Building RAG Systems with LangChain: Practical Tutorial with Working Code
Complete hands-on tutorial for implementing Retrieval Augmented Generation (RAG) using LangChain. Step-by-step guide with Python code examples, document processing, vector stores, and production-ready patterns.