Karini AI Documentation
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  • Introduction
  • Installation
  • Getting Started
  • Organization
  • User Management
    • User Invitations
    • Role Management
  • Model Hub
    • Embeddings Models
    • Large Language Models (LLMs)
  • Prompt Management
    • Prompt Templates
    • Create Prompt
    • Test Prompt
      • Test & Compare
      • Prompt Observability
      • Prompt Runs
    • Agentic Prompts
      • Create Agent Prompt
      • Test Agent Prompt
    • Prompt Task Types
    • Prompt Versions
  • Datasets
  • Recipes
    • QnA Recipe
      • Data Storage Connectors
      • Connector Credential Setup
      • Vector Stores
      • Create Recipe
      • Run Recipe
      • Test Recipe
      • Evaluate Recipe
      • Export Recipe
      • Recipe Runs
      • Recipe Actions
    • Agent Recipe
      • Agent Recipe Configuration
      • Set up Agentic Recipe
      • Test Agentic Recipe
      • Agentic Evaluation
    • Databricks Recipe
  • Copilots
  • Observability
  • Dashboard Overview
    • Statistical Overview
    • Cost & Usage Summary
      • Spend by LLM Endpoint
      • Spend by Generative AI Application
    • Model Endpoints & Datasets Distribution
    • Dataset Dashboard
    • Copilot Dashboard
    • Model Endpoints Dashboard
  • Catalog Schemas
    • Connectors
    • Catalog Schema Import and Publication Process
  • Prompt Optimization Experiments
    • Set up and execute experiment
    • Optimization Insights
  • Generative AI Workshop
    • Agentic RAG
    • Intelligent Document Processing
    • Generative BI Agentic Assistant
  • Release Notes
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Generative AI Workshop

PreviousOptimization InsightsNextAgentic RAG

Last updated 29 days ago

Foundation for Building AI Applications

Karini AI provides a comprehensive foundation that enables both newcomers and experienced practitioners to transform their ideas into functioning Generative AI applications. This workshop offers detailed, sequential guidance on every aspect of the Generative AI development process.

Before You Begin:

  1. Reach out to your Karini AI representative to set up your account.

  2. Schedule a 1-hour platform orientation with a Karini AI instructor.

  3. Prepare access to either your personal AWS account or one provided by your Karini AI representative.

Refer to the following Instruction for step by step tutorials.

: Build agentic assistant using knowledge base.

: Build Intelligent Document Processing workflow.

: Build a generative BI agentic assistant.

Agentic RAG
Intelligent Automation
Generative BI