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

🐝🌍 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

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

Hands-on lab material for Agentic AI bootcamp.

A deployable architecture solution to deploy IBM Watsonx SaaS resources.

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

This project contains a simple example implementation for a simple question-answering pipeline using inside-search (IBM Cloud Watson Discovery) and prompt (IBM watsonx with prompt-lab).

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

Automated intelligent claims analysis for business process optimization

Working example of a custom Python tool for IBM watsonx Orchestrate that allows to query Calendar Events from Microsoft 365 using a member connection implementing an OAuth Authorization Code flow.

Knowledgebase Chatbot platform 💡✨

A collection of small projects and coding experiments that showcase various skills, technologies, and problem-solving approaches. It serves as a portfolio to demonstrate software development, traditional ai and generative ai expertise.

This repository showcases a comprehensive approach to information retrieval, document re-ranking, and language model integration. It incorporates techniques such as document chunking, embedding projection, and automatic query expansion to enhance the effectiveness of information retrieval systems.

Workshop em Português para o IBM watsonx Assistant

This repository aims to explain the basics of IBM's Agent Lab(beta)

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

Terraform module to create and configure watsonx.ai Project

This is an example using the langchain_ibm implementation for function calling a LLM model running in watsonx.

IBM watsonx Orchestrate Agent Development Kit (ADK) Installation Guides

Create your own Retrieval-Augmented Generation (RAG) chatbot for PDFs. This project uses LangChain, Flask, and an LLM (IBM WatsonX/Hugging Face) to build a conversational AI that understands your documents.