Traditional NLP Topics¶
Traditional NLP methods for creating conversation experiences are no longer recommended. DialogGPT and the Agent Node are now the standard approach for building agentic conversational experiences on the platform. We recommend migrating your existing NLP-based apps to DialogGPT to leverage AI Agents and agentic capabilities.
However, you can still maintain your old NLP-based apps migrated from previous versions. For reference documentation on traditional NLP concepts and functionality, see:
| Feature | Document |
|---|---|
| Knowledge AI | About Knowledge AI, About KG, Terminology, Build a KG, Manage KG, Knowledge Extraction, Prepare Data for Import, Import or Export KG, Auto-Generate KG, KG Analysis |
| Natural Language | About NLP, NLP Optimization, NLP Guidelines, About NLP Training, The ML Engine, Model Validation, FM Engine, KG Engine, Traits Engine, Ranking and Resolver, Training Validations, NLP Engine Configurations, Multi Intent Detection, Amend Entities |
| Conversation Intelligence | About Intelligence, Context Management, Standard Responses, Manage Interruptions, Ignore Words and Field Memory |
| Testing | About Test and Debug, Test - NLP, Playground, Utterance Testing - NLP, Health and Monitoring - NLP, Batch Testing - NLP, Conversation Testing - NLP |
| Advanced Topics | Intent Discovery |