Wxflows
CreatedIBM
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
About
This repository offers a collection of examples and tutorials showcasing how to build AI applications with the watsonx.ai Flows Engine. It includes tools for various tasks, integrations with popular frameworks like LangChain and LangGraph, and end-to-end examples for creating agent chat applications, text-to-SQL agents, and more. It also demonstrates how to build tools out of any data source and deploy them to a cloud endpoint, which can be used in any agentic framework using the Python & JavaScript SDK.
Key Features
- Integrations with LangChain, LangGraph, watsonx.ai, and OpenAI.
- End-to-end examples for building various AI agent applications.
- Tool-calling examples demonstrating the use of external tools within AI agents.
- 73 GitHub stars
- Pre-built tools for common tasks like accessing Wikipedia, Google Books, and weather information.
- Examples for RAG (Retrieval-Augmented Generation) and text summarization.
Use Cases
- Creating text-to-SQL agents for data analysis.
- Building AI agents for customer service.
- Developing RAG-based question answering systems.
