Build your own Generative AI Chatbot with Watsonx Assistant
summary
Step-by-step demo builds a working chatbot using Watsonx Assistant + Watsonx.ai LLM, connects webchat via one-line embed, and wires RAG through Watson Discovery to keep responses tied to company docs; transactional no-code actions and live analytics show how to capture username, run a “reset password” flow, and complete tasks. Setup runs on the free Light plan, initial authoring tests under 30 minutes, pilots run ~1–1.5 months, and the agent refuses out-of-scope questions while returning sourced, human‑style answers.
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chapters (16)
- 0:00Introduction and overview
- 2:38Generative AI in business
- 5:29Business challenges with AI
- 11:26Watsonx assistant capabilities
- 17:07Resolution tasks and LLMs
- 19:35Key differentiators of Watsonx
- 25:57Frictionless experience demo
- 33:06Integration and analytics
- 38:58Market position and results
- 44:21Getting started on IBM Cloud
- 55:07Building actions and dialogue
- 1:03:48Customizing the user interface
- 1:08:58Deployment and channel setup
- 1:18:42Advanced LLM integration
- 1:28:51Prompt engineering studio
- 1:41:05Pilot programs and wrap up
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