hellohaptik/chatbot_ner

chatbot_ner is a legacy utility project from Haptik (a conversational AI company) that dates back over 9 years. While it garnered respectable adoption in the pre-Transformer era (331 stars, 133 forks), it has zero current velocity and is functionally obsolete. The defensibility is nearly non-existent because the underlying technology (likely Conditional Random Fields or basic regex-based patterns) has been entirely superseded by modern NLP frameworks like SpaCy and Hugging Face, and more recently, by LLMs. Frontier labs (OpenAI, Anthropic) have effectively solved the NER problem via zero-shot prompting and structured output (JSON mode/function calling), which are more accurate and flexible than specialized legacy libraries. Furthermore, cloud platforms like AWS Lex and Google Dialogflow provide these features as managed services. This project represents a 'time capsule' of early chatbot development rather than a viable modern competitive asset.