Trainmy - 2026 Pricing, Features, Reviews & Alternatives

Trainmy is a self-hosted or managed AI chatbot platform built on retrieval augmented generation (RAG), designed for organizations that require strict data control and private knowledge grounding. Rather than drawing on the open internet, the system answers questions exclusively from the organization's own content, with embeddings and all data stored on the customer's server. Deployment options include self-hosted on Linux servers (Ubuntu, Debian, CentOS), cloud-hosted, or a fully managed version. Language model support spans GPT-4o, GPT-4o mini, GPT-3.5, GPT-4, and Llama 3 (8B), with a fully local inference path via Llama 3 that requires no external API calls.

The platform supports multiple knowledge bases for distinct applications or user groups, and content can be ingested from text, web pages, PDFs, Word files, or via API without coding. Paragraph-level content management allows administrators to tweak, remove, or disable individual content units, while an AI-assisted rewriting tool optimizes paragraphs for RAG retrieval. Each chatbot response displays source references and links to original materials. Access channels include a web interface, WhatsApp integration, and a private JSON-RPC API, broadening reach across user workflows.

Trainmy is licensed annually at a flat rate with no limits on users or conversations, positioning it for mid-market to enterprise organizations. Administrators gain full visibility through conversation logging, star-based user ratings, usage statistics highlighting the most frequently referenced paragraphs, and fine-grained user permissions covering content management, review, and administration. Advanced controls over AI parameters, HTML structure, and styles, along with web page monitoring, give technical teams precise configuration authority.