Workshop

RAG and Knowledge Bases: Connecting AI to Your Data

Build AI that knows your organization

Build a working RAG (Retrieval-Augmented Generation) pipeline that connects AI to your organization's documents and data. Covers vector databases, chunking strategies, retrieval evaluation, and production deployment patterns.

3.5 hours
IT staff, data analysts, system admins
Enroll — $3,500

What you will cover

  • RAG architecture: how retrieval-augmented generation works
  • Vector databases: choosing and configuring the right one
  • Document chunking strategies for different content types
  • Retrieval evaluation: measuring answer quality
  • Production patterns: caching, monitoring, and cost control
  • Lab: build a RAG pipeline with your own documents

What you will leave with

  • Working RAG pipeline built during the session
  • Understanding of vector database options and trade-offs
  • Document preparation checklist for your knowledge base
  • Evaluation framework for measuring RAG quality

Grant funding may cover this

Michigan businesses can get up to $3,500 per employee covered through Going PRO and other state and federal programs.

Check grant eligibility
All training programsEnroll — $3,500