Ship Your First Enterprise RAG App
From raw documents to a deployed, enterprise-ready RAG app — in just 2 hours. Hands-on, practical, and production-minded.
What you’ll build
- Ingest and chunk raw documents for retrieval-ready context.
- Create embeddings and index them in a vector database.
- Retrieve top-k context with guards to reduce hallucinations.
- Wire the pipeline into an LLM-powered chat interface.
- Deploy the app publicly — ready to share with stakeholders.
Who is this for?
Builders, developers, analysts, and AI enthusiasts who want hands-on, production-minded RAG skills.
Prerequisites
- Basic Python familiarity (functions, virtual environments).
- GitHub account recommended.
- Laptop with stable internet; be ready to code along.
Important
Live-only experience — no replay will be provided.
Agenda (2 hours)
Register now
Seats are limited to ensure a high-touch experience. Secure yours and be ready to code along.
About the masterclass
Join a focused, live build where we take raw documents and ship a working Retrieval‑Augmented Generation application in two hours. We cover ingestion, embeddings, indexing, retrieval, and LLM integration — with an eye toward enterprise use.
This session is part of the AI Residency Masterclass Series. Learn more at decodingdatascience.com/airesidency.
Key notes
- Live-only. No replay will be available.
- Seats limited to 100 builders.
- Best experience on a laptop; have Python set up.