NLU Overview - Cognigy Documentation

Cognigy Natural Language Understanding (Cognigy NLU)

Cognigy NLU is the core engine of Cognigy.AI that allows AI Agents to interpret human language. Cognigy NLU processes text and speech to determine meaning, identify user queries, and understand context, enabling more humanlike conversations.

Intents

Learn the fundamentals of Intents and how they’re used in Cognigy.AI to enhance conversational AI capabilities (link).

NLU Performance Tuning

Fine-tune Intent recognition by analyzing accuracy and confidence. Adjust thresholds to optimize detection sensitivity (link).

Rules and Conditions

Define rules and conditions to refine Intent handling, ensuring accurate user input recognition and response (link).

Slots

Use Slots to extract data from user input, enabling dynamic interactions within conversations (link).

Affirmative Words

Configure words and phrases for affirmative recognition, improving AI Agents understanding capabilities (link).

Intent Hierarchy

Structure and prioritize Intents to improve recognition and mapping accuracy (link).

Attachments

Attach additional resources like Flows and Lexicons to enhance Intent processing and response generation (link).

External NLU

Integrate third-party NLU services for extended Intent recognition and language processing capabilities (link).

Miscellaneous

Explore additional NLU tools (link).

Last modified on April 21, 2026.