Large Language Models (LLMs)
Melonleaf uses advanced large language models to build chatbots that can quickly know the questions clearly and reply like a human. These models help to create smart conversations with correct answers.
Natural Language Processing (NLP)
NLP technology allows our created chatbots to know the intent of the user's keywords, and their meaning. This helps chatbots to reply to answers in a better way and easily handles different types of questions and delivers smoother conversations to support sales.
Conversational AI Frameworks
Using powerful frameworks like Rasa, and Microsoft Bot Framework, we always build scalable chatbot because these tools help to design the chatbot flows, train AI models, and manage conversations for different platforms like websites, and apps.
Generative AI & Automation Tools
Generative AI helps our team create chatbots that can produce smart dynamic replies instead of fixed answers. By combining automation tools, these chatbots guide users, complete tasks, and deliver good experiences that keep customers engaged.
Cloud, Integration & Deployment Technologies
Melonleaf uses cloud platforms and secure integration tools to connect chatbots with CRM systems, and databases as this can give you better performance, and smooth data flow with high security and scalable AI chatbot development solutions.