It allows you to setup "Input Channels" e.g. slack telegram, and has an intents and response pipeline.
It leverages pre-LLM NLU models (NLTK, BERT, etc.) to score intents and based on that intent it will automate a pre-configured response.
My implementation allows you directly route (or fallback to) to GPT-3 or GPT-4 via Langchain document retrieval. So essentially this is an example of a knowledgebase customer support bot.
It allows you to setup "Input Channels" e.g. slack telegram, and has an intents and response pipeline.
It leverages pre-LLM NLU models (NLTK, BERT, etc.) to score intents and based on that intent it will automate a pre-configured response.
My implementation allows you directly route (or fallback to) to GPT-3 or GPT-4 via Langchain document retrieval. So essentially this is an example of a knowledgebase customer support bot.
I hope that makes sense, let me know if not!