Examples and tutorials for building AI applications with watsonx.ai Flows Engine

Official Spring AI support for latest watsonx.ai services

CustomLLM config to leverage watsonx LLMs with continue.dev.

watsonx prompt lab

This is an autogen>=0.4 extension for watsonx client integration.

watsonx genai lab

Storing code used in Generative AI Developer Guides on the IBM Developer Website

watsonx API Client for Go

Model Context Protocol (MCP) server for IBM watsonx.data - enables AI assistants to query and explore lakehouse data Resources

🐝🌍 AI platform for climate impact analysis and sustainable urban development. Harness the power of AI to assess climate change effects on cities, provide actionable sustainability recommendations, and align projects with the United Nations Sustainable Development Goals (SDG 11)

The watsonx.ai Java SDK is an open-source library that simplifies the integration of IBM watsonx.ai APIs into Java applications. It supports chat completions, streaming, tool calling, embeddings, text classification, text extraction, text detection, reranking, and time-series forecasting.

A map created for beekeepers.

watsonx chatbot lab

PAVE-based preflight risk assessment MVP with deterministic scoring and AI-supported discussion.

A deployable architecture solution to deploy IBM Watsonx SaaS resources.

Hands-on lab material for Agentic AI bootcamp.

Production-ready AI medical chatbot for healthcare. IBM WatsonX, OpenAI, RAG, Llama 3, Mixtral. Medical interviewer, fine-tuning, Gradio. Python 3.9+.

A deployable architecture that automates the deployment of a sample gen AI Pattern on IBM Cloud, including all underlying IBM Cloud and WatsonX infrastructure.

Simple implementation of RAG using watsonx.ai, capturing the chat history to keep track of the conversation context and answer follow up questions.

Workshop em Português para o IBM watsonx Assistant