Karini AI Documentation
Go Back to Karini AI
  • 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
Powered by GitBook
On this page

Introduction

Generative AI Foundation to accelerate innovation

NextInstallation

Last updated 1 month ago

Karini's Generative AI foundation platform empowers users to build, deploy and monitor end-to-end generative AI applications with a few simple clicks. The following diagram illustrates how Karini AI delivers a comprehensive encompassing the entire application lifecycle. This platform delivers a holistic solution that accelerates time to market and optimizes resource utilization by providing a unified framework for development, deployment, and management.

  • Access to Cutting-Edge LLMs and VLMs: Seamlessly integrate state-of-the-art models from Amazon Bedrock, Amazon SageMaker, Databricks, Anyscale, Azure OpenAI, Google Vertex, and private model providers.

  • Prompt Engineering: Create straightforward or agentic prompts using templates, evaluate them across different models for latency, cost, and quality, and maintain a record of historic runs.

  • Knowledge Bases: Connect to enterprise data sources, object stores, business applications, databases, or data warehouses to build or access knowledge bases in real-time.

  • No-Code Recipes: Deploy agents, multi-agent systems, generative BI, RAG, or batch workflows in minutes using intuitive no-code recipes.

  • Deploy and Collect Feedback: Easily deploy agents as chatbots with customizable styles, feedback settings, and audio controls.

  • Observability: Offers built-in tracing and tracking of all conversations to construct a semantic knowledge base, analyze performance and cost trends, and export conversations for model fine-tuning.

Installing Karini AI

Pre-requisites
Generative AI foundational platform