You're running your own models because you need control, security, and cost predictability. But your documentation is still scattered, and your team can't find answers without bothering each other.
Why Docsie
Stop choosing between security and great UX. Get both.
Already running vLLM with Llama, Mistral, or your fine-tuned models? Docsie connects directly to your deployment. No migration, no model switching, no vendor lock-in. Keep using the infrastructure you've already optimized.
Every query, every document, every interaction stays within your infrastructure. We don't store copies, we don't proxy requests through our servers, and your vLLM deployment never talks to the outside world. Perfect for regulated industries and security-first teams.
You provisioned those GPUs for inference. Now put them to work answering your team's questions instead of sitting at 20% utilization. Docsie helps you justify your infrastructure spend by making it useful beyond ML experiments.
Teams running vLLM choose Docsie when they need AI-powered documentation without compromising on security
A fintech company running vLLM for fraud detection extended their infrastructure to power their internal wiki. Now their compliance team can ask questions about regulatory procedures in natural language, and every query stays on-premise. No data ever touches third-party AI services.
A healthcare platform uses vLLM to run specialized medical language models. They connected Docsie to give their clinical team intelligent search across treatment protocols and research docs, keeping all PHI-adjacent data within their HIPAA-compliant infrastructure.
Research teams fine-tune models for specific domains and need documentation systems that understand specialized language. By connecting Docsie to their vLLM deployment running custom models, they get better answers than generic ChatGPT could ever provide.
Everything you need to turn your vLLM infrastructure into a knowledge base your team will love
Connect to your vLLM server in minutes—works with any model you're already running
Each team gets their own encrypted credentials and completely separate data pipeline
Your vLLM access credentials are encrypted at rest and never shared across organizations
Works with vLLM deployments behind your firewall or in private cloud environments
Track which teams are using your vLLM resources so you can optimize capacity
Switch between different model versions or compare performance across your vLLM deployments
Common Questions
Everything teams ask before connecting Docsie to their vLLM infrastructure
Q: How long does it take to connect Docsie to our vLLM deployment?
A: Usually under 30 minutes. You'll provide your vLLM server URL and authentication details, upload your documentation, and you're ready to go. No code changes required on your vLLM side.
Q: Do we need to modify our existing vLLM setup?
A: No. Docsie works with standard vLLM deployments out of the box. As long as your vLLM server is running and accessible to Docsie, you're good to go.
Q: What happens if our vLLM server goes down?
A: Docsie will gracefully fall back to traditional search. Your documentation remains accessible, but AI-powered answers will be unavailable until your vLLM infrastructure is back online.
Q: Does Docsie ever send our data to OpenAI or other third parties?
A: Never. When you bring your own vLLM deployment, all AI processing happens on your infrastructure. Docsie never proxies requests through external services or stores copies of your data.
Q: Can we run Docsie entirely within our private network?
A: Yes. Docsie supports deployments where your vLLM infrastructure is completely private. We can work with your networking team to ensure all communication stays within your security boundaries.
Still have questions?
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