mirror of
https://github.com/docmost/docmost.git
synced 2026-08-19 18:44:09 +08:00
Philip Okugbe
232beda471
* feat(ai): add AI_VECTOR_DRIVER and turbopuffer configuration * feat(ai): carry workspace and target space ids on vector lifecycle events * feat(ai): add vector driver interface and turbopuffer request helpers * feat(ai): add pgvector driver behind the vector driver interface * refactor(ai): route vector reads and writes through the vector driver * feat(ai): add turbopuffer vector driver * feat(ai): rebuild turbopuffer namespaces when the embedding model changes * feat(ai): warm the vector namespace cache on session start * fix(ai): harden turbopuffer misconfiguration and reset failure paths * fix(ai): collapse blank-line runs in extracted page text * fix(ai): skip full re-embed when ai search is re-enabled within the delete grace window * sync * fix(ai): store real embedding dimensions instead of serialized vector length * fix(ai): filter search hits by the page's current space at query time * fix(ai): retry the page moved-to-space vector patch job * sync * feat(ai): pre-warm the vector namespace * fix(ai): pass AI_VECTOR_DRIVER through the client build config
Docmost
Open-source collaborative wiki and documentation software.
Website |
Documentation |
Twitter / X
Getting started
To get started with Docmost, please refer to our documentation or try our cloud version .
Features
- Real-time collaboration
- Diagrams (Draw.io, Excalidraw and Mermaid)
- Spaces
- Permissions management
- Groups
- Comments
- Page history
- Search
- File attachments
- Embeds (Airtable, Loom, Miro and more)
- Translations (10+ languages)
Screenshots
License
Docmost core is licensed under the open-source AGPL 3.0 license.
Enterprise features are available under an enterprise license (Enterprise Edition).
All files in the following directories are licensed under the Docmost Enterprise license defined in packages/ee/License.
- apps/server/src/ee
- apps/client/src/ee
- packages/ee
Contributing
See the development documentation
Thanks
Special thanks to;
Crowdin for providing access to their localization platform.
Algolia for providing full-text search to the docs.