IntermediateИнженерия
OpenAI RAG & Production Patterns
Official OpenAI production examples: PDF parsing for RAG, Q&A via Search API, prompt caching, rate limit handling, long document summarization, and entity extraction. Real code from the OpenAI team.
2modules
6lessons
150 mintotal time
Developers deploying OpenAI in production systemsaudience
Module 1
RAG: Data Ingestion and Retrieval
Build a RAG pipeline from scratch: parse PDFs with GPT-4o vision, create per-page embeddings, and answer questions with HyDE re-ranking.
Module 2
Production Optimization
Prompt caching to cut costs and latency, graceful rate limit handling with exponential backoff, and structured extraction from long documents.