AI Model
Connect Meta Llama
to your enterprise data
Give Meta Llama models governed access to your databases through auto‑generated REST APIs. DreamFactory keeps your data secure — Meta Llama queries through controlled API endpoints, never directly.
How DreamFactory connects Llama to enterprise data
Meta’s Llama models are open-weight, which means many teams run them locally or on-premises. That pairs naturally with DreamFactory: a self-hosted data gateway serving a self-hosted model, so prompts, data, and credentials can all stay inside your network — including fully air-gapped deployments.
Llama-based agents and applications query your databases through governed REST APIs or the built-in MCP server, with role-based access control and complete audit logging on every call.
Use Cases
Meta Llama Use Cases
AI Data Access
Secure Llama Access to Enterprise Data
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Legacy Modernization
Connect Llama to Legacy Systems
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Data Governance
Govern Llama's Access to Your Data
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Frequently asked questions
Can everything run inside our network?
Yes. Llama models are open-weight and can run on your hardware, and DreamFactory is self-hosted — so the model, the data gateway, and the data never have to leave your infrastructure.
How do local Llama deployments query our databases?
Through auto-generated REST APIs or MCP tools, governed by role-based access control — not through direct database connections or shared credentials.
Is this suitable for regulated environments?
Yes. The combination of a local model and an air-gap-capable, self-hosted data gateway is designed for environments where data cannot leave the network.
Free 30-Minute Demo
Get a Demo — Meta Llama + DreamFactory
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