Ollama is a brilliant tool for running local LLMs, but it's just the engine — not the car. It doesn't include document indexing, vector storage, OCR, citations, or a polished UI. PrivateDocs AI uses Ollama under the hood but provides the full application layer needed to actually chat with your private documents.
Compared to: Ollama CLI · LocalAI · LM Studio
PrivateDocs AI vs. Ollama — Production-ready RAG vs. raw model runtime
| Feature | PrivateDocs AI | Ollama |
|---|---|---|
| Primary Use Case | Full local RAG (Chat with PDFs/docs) | Raw LLM inference |
| Document Indexing | Native ChromaDB integration, zero-config | None — manual setup required |
| Source Citations | Automatic per-message grounding | Requires custom engineering |
| User Interface | Native polished desktop app | CLI / API only (or 3rd party UI) |
| OCR & Ingestion | PDF and Office ingestion; optional OCR for image-only PDFs | Manual file handling |
| Updates & Lifecycle | App update checks; models downloaded separately as needed | Manual pulls and command line updates |
| Pricing | $249 one-time lifetime license | Free Open Source |
It's much more. While we use the Ollama engine for local inference, we provide the application layer—document chunking, local embedding and vector storage, supported PDF parsing with optional Advanced Parsing OCR, and citations that can link answers back to source files.
Yes. PrivateDocs AI integrates with the local Ollama runtime. Available models depend on the app, your hardware, and each model's license.
Ollama provides the inference engine. PrivateDocs AI provides the production-grade software layer, including the ingestion pipeline, vector database management, citation architecture, and dedicated technical support for teams who need it to work out of the box.
$249 one-time license. No recurring fees. Document content stays local for AI processing.
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