Settings: Documents
Documents let Row-Bot search files you add to its local document library. This is different from attaching a file to one chat: indexed documents become reusable context for future questions.

Where To Find It
Open Settings, then choose Documents from the left tab list.
Controls
- Upload documents adds files to Row-Bot-managed storage for indexing.
- Embedding provider and model controls choose how document chunks become searchable vectors.
- Dimension override is for advanced embedding models that need a specific vector size.
- Batch size controls how much indexing work happens at once.
- Auto-unload local embedding resources releases local model memory after heavy document work.
- Indexed Documents lists what Row-Bot has processed and whether each item is ready.
- Rebuild document vectors repeats indexing when you change embedding settings.
- Rebuild memory vectors refreshes memory search with the current embedding settings.
Common Workflow
- Choose an embedding provider before adding a large document library.
- Upload a small test document and wait until it is indexed.
- Ask Chat a question that should require the document.
- Rebuild vectors only when you change embedding model settings or suspect stale search results.
What Is Saved
Uploaded files, extracted text, and vectors are stored in the local Row-Bot data directory. The active chat only sees relevant results when document search is enabled.
Privacy And Safety
Review credential, account, channel, provider, or tool settings before enabling features that can contact outside services. Local-only features stay on your machine until you ask Row-Bot to use a provider, account, channel, MCP server, plugin, or tool that sends data elsewhere.
Control-Level Reference
The generated Settings Controls reference lists the visible controls found in the current application source, including defaults, allowed values when they are declared inline, dependencies, restart notes, security notes, and source locations.
Troubleshooting
- If search misses obvious content, rebuild vectors and check the embedding provider.
- If local indexing is slow, lower batch size or enable auto-unload.
- If a document contains private material, remove it from the document library before sharing screenshots or logs.