This is an autogen>=0.4 extension for watsonx client integration.
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Updated
Apr 1, 2025 - Python
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.
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 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.
An AI-powered plant health and safety assistant that identifies plants, detects toxicity, and provides health recommendations
Document to CSV Generator is a robust application designed to facilitate the efficient transformation of document content into structured CSV files using Generative AI
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