AIML (Artificial Intelligence Markup Language)
The standardized XML dialect for building deterministic, rule-based conversational AI agents.

A general-purpose NLP library for Node.js with 100+ language support and lightning-fast neural networks.
NLP.js is a robust, production-grade Natural Language Processing library maintained by AXA Group Operations and the open-source community. Positioned in the 2026 market as the premier JavaScript-native alternative to Python-centric stacks like Rasa or spaCy, it enables developers to build intelligent, context-aware applications without the overhead of external API dependencies or heavy Python environments. The architecture is built on a modular plugin system, allowing for seamless integration of intent classification, entity extraction, and sentiment analysis directly into Node.js or browser-based runtimes. Its core strength lies in its 'NeuralClassifier' and 'NLU Manager,' which provide ultra-low latency training and inference. In 2026, it is increasingly favored for edge computing, privacy-centric healthcare deployments, and high-performance serverless functions where millisecond-level response times are critical. It supports over 104 languages and provides specialized connectors for enterprise messaging platforms, making it a cornerstone for localized, global-scale conversational AI.
Uses a custom neural network to detect over 100 languages with high confidence scores.
The standardized XML dialect for building deterministic, rule-based conversational AI agents.
Industrial-grade NLP library for the full lifecycle of LLM development and deployment.
The leading open-source framework for building cross-platform conversational AI across voice, web, and mobile.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A lightweight neural network implementation specifically optimized for JavaScript runtimes.
Maintains conversation state and manages slot filling across multiple turns.
Middleware-based system that allows swapping NLU engines (e.g., using BERT or GPT embeddings).
Lexicon-based and pattern-based sentiment scoring integrated into the processing pipeline.
Extracts dates, numbers, emails, and custom regex entities automatically.
Full NLU engine can be bundled and run entirely on the client-side.
Transmitting patient data to cloud NLP providers like Dialogflow violates strict data sovereignty laws.
Registry Updated:2/7/2026
Web-based RPGs need instant response from NPCs without cloud-induced lag.
Large enterprises receiving 10k+ emails daily need categorization to avoid manual sorting.