Adds OPEN_NOTEBOOK_CHUNK_SIZE and OPEN_NOTEBOOK_CHUNK_OVERLAP environment
variables to allow users to configure chunking behavior for different
embedding models with varying context window limits.
Key changes:
- CHUNK_SIZE is now configurable via OPEN_NOTEBOOK_CHUNK_SIZE (default: 1200)
- CHUNK_OVERLAP is configurable via OPEN_NOTEBOOK_CHUNK_OVERLAP (default: 15%)
- Validation with warnings for invalid or out-of-range values
- Updated documentation with configuration examples
This enables users of models like mxbai-embed-large with limited context
windows to reduce chunk size accordingly.
Closes#510
* feat: decrease chunking size for maximum ollama compatibility
* docs: improve i18n info on Claude.md
* feat: add cascade deletion for notebooks with delete preview
- Add Notebook.get_delete_preview() to show counts of affected items
- Add Notebook.delete(delete_exclusive_sources) for cascade deletion
- Always delete notes when notebook is deleted
- Allow user to choose: delete or keep exclusive sources
- Shared sources are always unlinked but never deleted
- Add NotebookDeleteDialog component with radio button options
- Add delete-preview API endpoint
- Update delete endpoint with delete_exclusive_sources param
- Add i18n support for all 5 locales
Closes#77
* docs: remove harcoded config settings
* feat: content-type aware chunking and unified embedding
- Add chunking.py with HTML, Markdown, and plain text detection
- Add embedding.py with mean pooling for large content
- Create dedicated commands: embed_note, embed_insight, embed_source
- Use fire-and-forget pattern for embedding via submit_command()
- Refactor rebuild_embeddings_command to delegate to individual commands
- Remove legacy commands and needs_embedding() methods
- Reduce chunk size to 1500 chars for Ollama compatibility
- Update CLAUDE.md documentation for new architecture
Fixes#350, #142
* fix: address code review issues
- Note.save() now returns command_id for tracking embedding jobs
- Add length check after generate_embeddings() to fail fast on mismatch
- Add numpy as explicit dependency (was transitive)
- Remove hardcoded chunk sizes from docstrings
* docs: address code review comments
- Rename "SYNC PATH" to "DOMAIN MODEL PATH" in embedding router
- Add test_chunking.py and test_embedding.py to Testing Strategy
- Clarify auto-embedding behavior for each domain model
* fix: clean thinking tags from prompt graph output
Adds clean_thinking_content() to prompt.py to handle extended thinking
models that return <think>...</think> tags. This fixes empty titles
when saving notes from chat.
* chore: remove local docker-compose from git
* fix(frontend): handle null parent_id in search results
Add defensive check for null parent_id in search results to prevent
"Cannot read properties of null (reading 'split')" error. This can
happen with orphaned records in the database.
* fix: cascade delete embeddings and insights when source is deleted
When deleting a Source, now also deletes associated:
- source_embedding records
- source_insight records
This prevents orphaned records that cause null parent_id errors
in vector search results.
* fix: add cleanup for orphan embedding/insight records in migration 10
Deletes source_embedding and source_insight records where the
linked source no longer exists (source.id = NONE).
* chore: bump esperanto to 2.16
Increases ctx_num for Ollama models to accommodate larger notebook
context windows. See: https://github.com/lfnovo/esperanto/pull/69
