Generative AI

Explore the A2A standard for agent‑to‑agent communication, from deploying HR agents on Code Engine to integrating them with watsonx Orchestrate for robust workflows.

Discover universal JSON prompt templates for extraction, generation, and analysis, plus best‑practice automation and error‑handling techniques for production‑grade AI pipelines.

In this tutorial, learn how to set up a local AI co-pilot in Visual Studio Code using IBM Granite 4, Ollama, and Continue, overcoming common enterprise challenges such as data privacy, licensing, and cost. The setup includes open-source LLMs, Ollama for model serving, and Continue for in-editor AI assistance.

Learn how to build agentic, no‑code workflows on watsonx Orchestrate with forms, document extraction, and generative AI prompts—no programming required.

Learn to build context-aware AI agents using watsonx Orchestrate and Astra db with vector search, embeddings, and automated data retrieval.

Learn how to build a Language Advisor agent with Langflow, Ollama’s Granite 4.0 Micro model, and IBM watsonx Orchestrate. Detect code language, fetch best‑practice guides via web search, and deliver concise, actionable summaries all on‑premise and governed.

In this tutorial, you learn how to create a simple RESTful Java AI application that asks a large language model (LLM) to write a short poem based on a topic provided by the user.

Discover the Agentic Data Scientist, a revolutionary tool that automates data science workflows using LangGraph and watsonx. Simply upload a CSV/Excel file, describe your analysis, and let the agent do the work. The AI-driven agent plans, codes, executes, reviews, and delivers results, streamlining your data science tasks with minimal human intervention.

Automate SOC audits with SAGE using agentic AI, QRadar, and watsonx Orchestrate for faster evidence collection, compliance, and reduced analyst workload.

Elasticsearch has transformed from a simple search engine into a powerful AI-powered platform capable of handling diverse search requirements. By mastering indexing, analyzers and hybrid search techniques, developers can build sophisticated search experiences that combine the precision of keyword search with the contextual understanding of semantic search.