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* 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 |
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| .. | ||
| ask.py | ||
| chat.py | ||
| CLAUDE.md | ||
| prompt.py | ||
| source.py | ||
| source_chat.py | ||
| tools.py | ||
| transformation.py | ||