FAQ AI (Embedding)

By utilizing embeddings, our chatbot can comprehend and respond to user inquiries with greater accuracy and relevance.

Embeddings are dense vector representations of words or phrases that capture their meanings, relationships, and contexts. This allows the chatbot to go beyond keyword matching and understand the nuances of natural language.

When a user asks a question, the chatbot can match the query with the most relevant pre-trained responses or FAQs by comparing their embeddings, ensuring precise and contextually appropriate answers.

This results in a more intuitive and efficient user experience, as the chatbot can handle a wide range of questions and provide accurate information quickly.