Building AI With MongoDB: Optimizing the Product Lifecycle with Real-Time Customer Data

Zelta uses generative AI to analyze customer feedback from various sources, extracting insights and sentiment around specific topics and features, and stores this data in MongoDB Atlas for further analysis and model training. Crewmate provides a no-code builder for embedded AI-powered communities, scraping website data, storing it in MongoDB Atlas, and using OpenAI's ada-002 embedding model to power context-aware semantic search. Ada automates complex service interactions with AI-powered automations built on MongoDB Atlas, using transformer models, LLMs, and reinforcement learning from human feedback to provide advanced customer support.