LLMRails — Build RAG Applications with Private Data

LLMRails is an end-to-end RAG platform for building AI applications using private data and secure APIs

LLMRails provides an end-to-end platform for building and scaling RAG-based applications with private data. This tool is designed for small to medium-sized business owners and product managers who need to deploy generative AI features without managing complex underlying infrastructure. It simplifies the process of indexing documents and querying them via a secure API to deliver accurate, context-aware responses to users. The platform streamlines technical tasks such as vector storage, text chunking, and embedding generation into a single workflow. LLMRails includes automated model tuning and real-time evaluation to ensure that the AI outputs remain relevant and high-performing. Business owners can use these features to build custom internal knowledge bases or customer-facing support bots using their own proprietary data. By visiting surfai.app, you can compare how this solution stacks up against other orchestration platforms in the 2026 market. The interface allows for easy customization of prompts and retrieval parameters without requiring deep expertise in data science. It also prioritizes data privacy with built-in security protocols to protect sensitive corporate assets during processing. LLMRails offers a freemium model that includes a free tier for initial development and testing. Paid plans are available for businesses requiring higher request volumes and enterprise-grade support.

• Pricing: freemium

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