Add configurable cache_dir, threads, and parallel settings for FastEmbed
to support cloud deployments where defaults fail. Cache embedding providers
at the process level to avoid re-creating heavy ONNX model instances.
- Add semantic_embedding_cache_dir, semantic_embedding_threads, and
semantic_embedding_parallel config fields
- Thread-safe provider cache with double-checked locking in factory
- Forward runtime knobs through to TextEmbedding and embed() calls
- Fix if/elif chain in factory for correct error handling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Three changes to surface more answer text in search results:
- Populate matched_chunk_text for FTS-only hybrid results from content_snippet,
preventing fallback to truncated content when vector search has no match
- Increase TOP_CHUNKS_PER_RESULT from 3 to 5, catching answers in deeper chunks
for large notes (~2700 → ~4500 chars of matched context)
- Increase CONTENT_DISPLAY_LIMIT from 2000 to 4000, doubling the safety-net
content truncation for results without matched_chunk
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Two strategies to improve content hit rate when the right document is found:
1. Small notes (<=2000 chars): return full content_snippet as matched_chunk
so the answer is always present for correctly-retrieved small notes
2. Large notes: return top-3 chunks by similarity joined with \n---\n
instead of just the single best chunk (~2700 chars vs ~900 chars)
Also raises CONTENT_DISPLAY_LIMIT from 250 to 2000 for richer FTS results.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
RRF compressed all fused scores to ~0.016, destroying ranking differentiation.
The new formula `max(vec, fts) + FUSION_BONUS * min(vec, fts)` preserves
dominant signals and rewards dual-source agreement.
Changes:
- Remove RRF_K constant; add FUSION_BONUS (0.3) and FTS_GATE_THRESHOLD (0.0)
- Use raw vector similarity scores instead of re-normalizing by vec_max
- Zero-score results now produce zero fused score (no 0.1 weight floor)
- Rename test_hybrid_rrf.py → test_hybrid_fusion.py with updated assertions
- Update docs and docstrings to reflect score-based fusion
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
sqlite-vec enforces k <= 4096 for nearest-neighbor queries. Projects with
>4096 vector chunks would crash all vector/hybrid search because
candidate_limit = max(100, (limit + offset) * 10) exceeded this hard limit.
Clamp the knn k in _run_vector_query while keeping the outer SQL LIMIT
unclamped. Only affects SQLite — pgvector has no such constraint.
Fixes#604
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Replace f-string interpolation with parameterized queries for note_types,
search_item_types, and metadata filter paths to prevent SQL injection.
Fixes#591
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Replace delete-then-insert pattern with INSERT ... ON CONFLICT for
PostgreSQL search index operations. This fixes race conditions where
parallel entity indexing could cause UniqueViolationError on the
uix_search_index_permalink_project constraint.
Changes:
- Add index_item() override in PostgresSearchRepository with upsert
- Update bulk_index_items() to use ON CONFLICT (permalink, project_id)
- Add CREATE_POSTGRES_SEARCH_INDEX_PERMALINK DDL for test fixtures
- Add tests for upsert behavior on duplicate permalinks
Technical note: Use column-based ON CONFLICT syntax instead of
ON CONSTRAINT (which only works for table constraints, not indexes).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Denormalizes project_id onto Relation and Observation tables to enable
efficient project-scoped queries without joins. Migration backfills
from associated entity and adds pg_trgm extension with GIN indexes
for fuzzy link resolution on PostgreSQL.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Add test confirming entity_repository.update() returns the entity with
observations and relations eagerly loaded, eliminating the need for a
separate find_by_id() call after update.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Add add_all_ignore_duplicates() method to RelationRepository for bulk
inserting relations with ON CONFLICT DO NOTHING. This handles cases
where the same [[wiki link]] appears multiple times in a document,
silently ignoring duplicates based on the (from_id, to_name, relation_type)
unique constraint.
Works with both SQLite and PostgreSQL dialects.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Add optimized repository methods for resolve_permalink() that skip
eager loading of observations and relations:
- permalink_exists(): Check existence without loading entity
- get_file_path_for_permalink(): Get only file_path column
- get_permalink_for_file_path(): Get only permalink column
- get_all_permalinks(): Get all permalinks as strings
- get_permalink_to_file_path_map(): Bulk lookup mapping
- get_file_path_to_permalink_map(): Reverse mapping
Updated entity_service.resolve_permalink() to use these lightweight
methods instead of loading full entities with all relationships.
Also added logfire instrumentation to markdown utils.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Paul Hernandez