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

CustomLLM config to leverage watsonx LLMs with continue.dev.

watsonx prompt lab

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

watsonx genai lab

Helping beekeepers save their bees.

watsonx API Client for Go

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

watsonx chatbot lab

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

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.

A repository to store piece of code...

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).

A deployable architecture solution to deploy IBM Watsonx SaaS resources.

Knowledgebase Chatbot platform 💡✨

Make something serious from Nick's lab.

An unofficial rust helper for integrating with IBM watson machine learning

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

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

Game Builder uses AI agents to generate, review, and evaluate Python game code, ensuring high-quality and functional game development.