RAG Pipeline με Python: Οδηγός Κατασκευής και Βελτιστοποίησης (2026)
Φτιάξε ένα production-ready RAG pipeline με Python βήμα-βήμα. Hybrid search, reranking, semantic caching, αξιολόγηση με RAGAS και πρακτικά παραδείγματα κώδικα για κάθε στάδιο.
Diego ran platform engineering at a 200-person Berlin fintech for five years, where he reluctantly became the in-house n8n expert after the ops team's self-hosted instance grew to 600 active workflows. He left in 2024 to consult independently, mostly helping European SaaS companies migrate brittle Zapier sprawl onto self-hosted n8n with proper version control and CI. His writing focuses on the operational side most agent tutorials ignore: running n8n behind a queue worker pool, secrets rotation for 30+ API integrations, GDPR-compliant logging of LLM inputs, and the Postgres tuning required when your workflow history table hits 50 million rows. He's a regular contributor to the n8n community forum and maintains a small open-source library for testing LangChain chains against fixture-based eval sets. Eleven years in backend and platform work. Based in Lisbon.
Φτιάξε ένα production-ready RAG pipeline με Python βήμα-βήμα. Hybrid search, reranking, semantic caching, αξιολόγηση με RAGAS και πρακτικά παραδείγματα κώδικα για κάθε στάδιο.