GenMB Assistants
AI-powered chatbots built in GenMB that respond to messages on Telegram, Slack, and Email. Each assistant has a configurable personality, knowledge base, and set of scheduled tasks. Assistants are deployed as dedicated GKE pods and can hold multi-turn conversations, answer questions from uploaded documents, and trigger actions on a schedule. Deploying to live channels is available on Pro and up.
Related Terms
Agent Mode
An autonomous AI building mode that breaks complex app requests into 5-15 sequential tasks, executing each with error recovery and checkpoints. The AI plans the implementation, executes tasks one by one, retries failures up to 3 times, and allows users to pause, resume, or stop at any point.
Vector Database
A specialized database that stores data as high-dimensional numerical vectors (embeddings) instead of rows and columns. Vector databases enable semantic similarity search - finding content by meaning rather than exact keywords. GenMB's Vector DB service uses pgvector (a PostgreSQL extension) with automatic text chunking and embedding generation, making it easy to add semantic search or RAG to generated apps.
Backend Agent
A scheduled server-side AI agent in GenMB that runs Python scripts on a cron schedule via a shared GKE worker pool. Backend Agents can call APIs, process data, send emails, and trigger actions automatically. GenMB generates the agent code from a natural language description, deploys it, and manages execution logs. Available on Business plan, max 3 per user.
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