ChatFAQ leverages Generative Language models like Large Language Models (LLMs) to offer unprecedented capabilities in natural language processing and generation. This allows to deliver a sophisticated chatbot service that comprehends and generates human-like text and empowers brands to deliver personalized and efficient communication at scale.
Upload your business content as CSV or PDF files and ChatFAQ will generate utterances to expand your knowledge dataset and improve the AI model accuracy. If you don’t have any existing Frequently Asked Questions, no need to manually create them from scratch. ChatFAQ will infer FAQ automatically and prepare the training dataset covering your business context.
ChatFAQ pipeline is architected on a flexible multi-stage processing that transforms user questions into embedding vectors that are matched by an intent-correlation model. Once the user intent is understood and proper business context has been built, a custom prompt engineering is applied to perform NLG generation with hallucination and adversarial prompt preventions.
Running LLM models is a complex and costly task both on local or cloud deployments. Among the best open-source LLM models, ChatFAQ selects 2 models for development and production purpose in order to achieve the best performance (in number of generated tokens per second) with the minimum hardware footprint (memory and CPU/GPU requirements).