📘 На Mentorix вышел курс — «RAG Engineering: создание production-ready AI-систем» Хотите не просто собрать демо «чат по документам», а сделать RAG, который находит нужный раздел и отвечает с цитатами? Этот курс — полный путь от RAG без фреймворков до production agentic RAG. • Основы: embeddings, top-k, мини-RAG руками • Векторный поиск: Qdrant и pgvector, мультитенантность • Chunking: semantic, document-aware, parent-child • Hybrid search: BM25, sparse-векторы, RRF • Reranking: cross-encoder, Cohere, Voyage, Jina • Оценка: nDCG, golden datasets, faithfulness, eval в CI • Паттерны: HyDE, multi-hop, Corrective RAG, GraphRAG • Agentic RAG и MCP-сервер базы знаний • Production: FastAPI, streaming, кэш, права доступа 🎓 Сертификат — добавьте в резюме или LinkedIn 🏷 Скидка 50%, действует 48 часов 12 990 ₽ → 6 495 ₽ ➜ Пройти курс на Mentorix Ещё 25 курсов бесплатно — доступны после регистрации
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Telegram — AI Machine Learning Big Data
Read full article at Telegram — AI Machine Learning Big DataMentorix has released a course - “RAG Engineering: creating production-ready AI systems”
📘 A course has been released on Mentorix - “RAG Engineering: creating production-ready AI systems.” Do you want to not just put together a demo “chat on documents”, but make a RAG that finds the required section and responds with quotes? This course is the full path from RAG without frameworks to production agentic RAG. •…
AI Summary & Key Takeaways
- 📘 A course has been released on Mentorix - “RAG Engineering: creating production-ready AI systems.” Do you want to not just put together a demo “chat on documents”, but make a RAG that finds the required section and responds with quotes
- This course is the full path from RAG without frameworks to production agentic RAG
Mentorix has released a course - “RAG Engineering: creating production-ready AI systems”
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