FlotorchAI
Features of FlotorchAI
Use Cases of FlotorchAI
FAQ about FlotorchAI
QWhat is FlotorchAI?
A unified LLM/Agent gateway that exposes one endpoint for every model and adds routing, evaluation and governance out of the box.
QWhich model types can FlotorchAI connect to?
Any LLM, fine-tuned variant, agent framework or MCP server—bring your own or use the built-in catalog.
QWhat problem does the routing engine solve?
It automatically sends each request to the cheapest or fastest model based on rules you set—cost, latency or time-of-day.
QDoes FlotorchAI support RAG?
Yes. It covers the entire RAG pipeline: preprocessing, chunking, embeddings, vector stores and retrieval tuning.
QIs there an evaluation or testing feature?
Yes. A no-code lab lets you compare models, agents and prompts on relevance, latency and cost before production.
QWhat governance and security features are included?
Observability, RBAC, guardrails, centralized secrets and workspace isolation for compliant multi-team development.
QHow can I deploy FlotorchAI?
Cloud-hosted SaaS or self-hosted in your VPC—contact the team for exact availability.
QIs pricing publicly listed?
No public pricing was found; reach out to FlotorchAI for current plans and volume discounts.
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