Notes of IBM Artificial Intelligence Analyst Course
Detect the emotion behind a piece of text
This is a "Question and Answer" application built using IBM watsonx.ai flows engine. The project leverages a vector database to enhance the Large Language Model's (LLM) context awareness with a set of documents, specifically watsonxdocs.
The GitHub repository showcases completion of IBM courses on AI and Python. Topics cover AI fundamentals, generative AI, chatbot development, Python for data science, and AI application with Watson APIs, detailing key lessons and practical projects.
Reference Kubernetes demos for AI agents and RAG: deploy containerized agent services, optional Qdrant vector store, FastAPI endpoints, and integrations for MLflow tracking, Evidently monitoring, and governance (non‑root images, SBOM, scans).
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