AI Document Search
Ask questions in natural language across GitHub, Notion, Google Drive, Confluence, S3, and local files. Get cited answers with source links — not hallucinations.
AI document search across GitHub, Notion, Google Drive, Confluence, S3, local files, and web sources with source citations
OpenDocuments is an open source, self-hosted RAG (Retrieval-Augmented Generation) platform that connects scattered organizational documents and lets you search and ask questions using AI with source citations.
Unlike cloud-only solutions, OpenDocuments can run entirely on your own infrastructure with local LLMs via Ollama. Your data can stay inside your network.
| Feature | OpenDocuments | Cloud alternatives |
|---|---|---|
| Data privacy | Can stay local with Ollama; cloud providers require explicit policy approval | Data sent to third-party servers |
| Cost | Free, open source (MIT) | $20-100+/user/month |
| File formats | 12+ formats (PDF, DOCX, code, Jupyter...) | Limited format support |
| Data sources | 8 connectors plus local upload and directory indexing | Vendor-specific integrations |
| Customization | Plugin system, full source access | Closed source, limited APIs |
| AI models | Any model (Ollama, OpenAI, Claude, Gemini) | Locked to one provider |
| Korean support | Built-in cross-lingual search | Usually English-only |
npm install -g opendocuments
opendocuments init # Detects Ollama and asks before any model download
opendocuments start # Opens Web UI at localhost:3000The wizard validates the selected provider and shows every required download before it starts. Large local models can take substantially longer than the application install. Get started →