Mindmeld: An Open-source, Deep-domain Conversational AI Toolkit
summary
Mindmeld is an open-source, Python toolkit (licensed Apache 2) that builds production-grade voice and chat assistants by combining pattern rules, ML models and IR instead of end-to-end black boxes. It powers Cisco WebEx assistant, uses Elasticsearch plus TensorFlow, scikit‑learn, numpy and SciPy, and provides a dialog manager, entity resolver and QA layer. Typical training needs are 500–1,000 queries for domain/intent and 1,000–10,000 for open entities; deployments hit 95%+ entity accuracy when tuned and can run cloud or on‑prem.
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chapters (23)
- 0:00Intro
- 1:05Conversational interfaces are the next frontier
- 2:12Building production-quality conversational assistants is one of today's hardest Al challenges
- 3:58Today's machine learning tools are insufficient Cloud NLP Services
- 6:46The Mind Meld Conversational Al Platform
- 7:33Github
- 7:53Natural Language Processor understands the user query
- 8:48Domain Classifier assigns the user query to a pre- defined domain
- 9:21Intent Classifier determines the user intent
- 10:16Entity Recognizer detects all relevant entities in the user query
- 11:27Role Classifier assigns role labels to extracted entities
- 12:05Entity Resolver transforms each extracted entity into its canonical form
- 13:09Language Parser clusters extracted entities into meaningful entity groups
- 15:22Dialogue Manager directs the flow of the conversation
- 16:46Application Manager is the platform orchestrator
- 17:51A sample interaction with an enterprise voice assistant
- 18:16Domain Classification
- 18:38Intent Classification
- 18:54Entity Recognition
- 20:14Role Classification
- 21:04Language Parsing
- 21:34Dialogue Management & Question Answering
- 28:33Entity Resolution
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