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

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.

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).

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

Python code to demonstrate support for language translation in watsonx. Using the granite-20b-multilingual LLM

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

Document to CSV Generator is a robust application designed to facilitate the efficient transformation of document content into structured CSV files using Generative AI