Build a practical GraphRAG pipeline: extract a knowledge graph, index nodes and chunks, retrieve local paths and global summaries, and synthesize grounded answers.
Build a production-ready AI meeting transcription API with streaming, diarization, summaries, and exports. Code samples and architecture included.
Build a production-ready AI email assistant: architecture, Gmail/Graph integration, LLM prompts, security, reliability, and code examples.
A practical, end-to-end tutorial for generating, evaluating, and governing synthetic data for ML using Python, SDV, and sdmetrics.
Build a production-ready predictive analytics API with Python and FastAPI—training, serving, security, testing, and MLOps in one tutorial.
Build, deploy, and scale a production-ready AI text classification API with Python and FastAPI—training, serving, security, metrics, and monitoring.
