Create a Custom Chat Bot with Python
summary
Claims that Azure Bot Service plus the Python SDK builds production-ready chatbots quickly, using LUIS intent 90% confidence for intent/entity extraction and QnA Maker from Excel for FAQ responses. Architecture mixes channel connectors, QnA fallback to LUIS, then custom NLP that vectorizes text and does similarity matching to return the top three documents returned from an enterprise store. A minimal echo bot demo runs in the Bot Framework Emulator with very few lines of code, proving the pipeline works end to end.
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chapters (9)
- 0:00Start
- 0:05SENSE
- 0:27Lightning Talk Outline
- 0:48Why are chatbots important?
- 1:42How Chatbots Work
- 2:13User Request Analysis: Intents and Entities
- 3:41Considerations and Approaches - Chatbot
- 5:41Azure Bot Service Highlights
- 7:24Example Chatbot Architecture
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