Granite models

A family of AI models that help drive trust and scalability in AI-driven applications

The open source family of Granite models are lightweight, low-cost/no-cost LLMs and tools that help developers swiftly prototype ideas before scaling them on production systems.

Tutorials

03 March 2026

Tutorial

Build a local AI coding assistant with IBM Granite 4, Ollama, and Continue

Learn how to build a local AI coding assistant in VS Code using IBM Granite 4, Ollama, and Continue. Solve enterprise data privacy, licensing, and cost challenges with open-source LLMs.

09 December 2025

Tutorial

Build an AI agent with Langflow, Granite 4.0 models, and watsonx Orchestrate

Learn how to build a Language Advisor agent with Langflow, Ollama’s Granite 4.0 Micro model, and IBM watsonx Orchestrate. Detect code language, fetch best‑practice guides via web search, and deliver concise, actionable summaries all on‑premise and governed.

03 July 2025

Tutorial

Scaling data preparation workflows in Data Prep Kit (DPK)

In this tutorial, learn how to build a Ray runtime, create unit tests, integrate with CI/CD, and add KFP extensions to existing transforms.

12 June 2025

Tutorial

Preparing data for fine-tuning LLMs for contract analysis using Data Prep Kit (DPK)

In this tutorial, you learn how to use the Data Prep Kit (DPK) to prepare data for fine-tuning and to achieve the business use case of contract analysis.

23 May 2025

Tutorial

Vibe coding your way through expense reports

Learn how to automate expense reports using AI, natural language prompts, JSON, IBM watsonx.ai, large language models, and no-code vibe coding techniques.

13 May 2025

Tutorial

Building data pipelines using natural language with Data Prep Kit (DPK)

In this tutorial, we explore two experimental notebooks that demonstrate how agentic workflows can support the creation of data pipelines using the Data Prep Kit based on user input provided in natural language.

24 April 2025

Tutorial

Extracting, classifying, and summarizing documents using LLMs

To build a generative AI form filling tool, you can use a large language model (LLM) to extract, classify and summarize documents. In this tutorial, we walk you through a sample application that applies these techniques to a recipe website. For this example, we used three main AI tools to perform the tasks: Docling, watsonx.ai, and Langchain.

22 April 2025

Tutorial

Contributing knowledge to open-source LLMs like the Granite models using the InstructLab UI

Learn how to contribute to open source large language models (LLMs), such as the IBM Granite models, using InstructLab UI.

22 April 2025

Tutorial

Contributing knowledge to the open source Granite model using InstructLab

Learn how to contribute knowledge to open source large language models (LLMs), such as the Granite models, on your personal laptop or Mac device using the InstructLab v0.18.x environment.

02 April 2025

Tutorial

Fine-tuning IBM Granite language models for enterprise applications using Red Hat Enterprise Linux AI

Learn how to contribute to open source large language models (LLMs), such as the IBM Granite models, using InstructLab UI.

28 March 2025

Tutorial

Build a multi-agent RAG system with Granite locally

This tutorial will show you an implementation of Agentic Retrieval-Augmented Generation (RAG). It can perform multi-step workflows like combining document search and web search to perform complex tasks like business research, feature comparison, news retrieval based on projects, personal knowledge management, and more.

25 March 2025

Tutorial

Preparing data for a RAG pipeline using Data Prep Kit (DPK)

In this tutorial, you learn how to use the Data Prep Kit (DPK) to prepare PDFs for a RAG pipeline.

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Open Source

Granite models

A family of AI models that help drive trust and scalability in AI-driven applications

Tutorials

Build a local AI coding assistant with IBM Granite 4, Ollama, and Continue

Build an AI agent with Langflow, Granite 4.0 models, and watsonx Orchestrate

Scaling data preparation workflows in Data Prep Kit (DPK)

Preparing data for fine-tuning LLMs for contract analysis using Data Prep Kit (DPK)

Vibe coding your way through expense reports

Building data pipelines using natural language with Data Prep Kit (DPK)

Extracting, classifying, and summarizing documents using LLMs

Contributing knowledge to open-source LLMs like the Granite models using the InstructLab UI

Contributing knowledge to the open source Granite model using InstructLab

Fine-tuning IBM Granite language models for enterprise applications using Red Hat Enterprise Linux AI

Build a multi-agent RAG system with Granite locally

Preparing data for a RAG pipeline using Data Prep Kit (DPK)