Search results for “"flows engine"” — 43 results

1. Build a tool calling agent with LangGraph and watsonx.ai flows engine

   Learn how to create an AI-powered agent that uses tool-calling to retrieve real-time data with LangGraph and watsonx.ai flows engine

2. Use various models with the watsonx.ai flows engine

   Create a custom flow for text completion with several different prompting techniques

3. Using different LLMs in watsonx.ai flows engine

   Learn how to use various models with the watsonx.ai flows engine to create a custom flow for text completion with several different prompting techniques

4. Visualizing data on IBM watsonx.ai

   Create and customize data visualizations in Data Refinery on the IBM watsonx.ai platform

5. Explore checkpoint and restart functionality in DataStage

   Restart from last known successful flow checkpoint

6. Understanding the data collection and action execution mechanisms of Turbonomic

   A technical deep dive into Turbonomic probes

7. Build Your First MCP Server with TypeScript and watsonx.ai Flows Engine

   Step-by-step guide to connecting AI agents to data sources using Model Context Protocol

8. Compare deep learning frameworks

   Picking the right deep learning framework based on your individual workload is an essential first step in deep learning

9. Build a simple 2D physics engine for JavaScript games

   Use existing physics engines to compare with the example implementation

10. Build an agentic RAG pipeline with multi-agent AI workflow

    Build a multi-agent retrieval workflow that combines semantic search, SQL querying, and autonomous reasoning for accurate, context-aware answers

11. Get to know AI agents

    Learn how AI agents work, how they perceive their environment, process data, make decisions, and execute actions

12. Use IBM Granite LLMs in watsonx.ai flows engine

    Learn how to use IBM Granite LLMs in watsonx.ai flows engine for basic prompting, summarization, and classification tasks