mcp-nextcloud

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Chris CoutinhoandClaude 02700a8e2c perf: Eliminate double-fetching in semantic search sampling

Performance optimization that removes redundant verification step and
makes content fetching parallel in nc_semantic_search_answer tool.

Changes:
- Remove verification.py module (only had 1 caller)
- Refactor nc_semantic_search to do inline deduplication instead of
  calling verify_search_results()
- Migrate verification patterns (anyio task group, semaphore limiting)
  to nc_semantic_search_answer's content fetching
- Change content fetching from sequential loop to parallel execution

Performance impact:
- Before: 10 API calls (5 parallel verification + 5 sequential content)
  = ~5.5s overhead
- After: 5 API calls (parallel content fetch) = ~0.5s overhead
- Result: 50% fewer API calls, ~10x faster for sampling operations

Technical details:
- Uses anyio.create_task_group() for structured concurrency
- Semaphore limiting (max_concurrent=20) prevents connection pool exhaustion
- Index-based storage maintains result ordering
- Expected failures (deleted notes) logged at debug level
- Deduplication handles hybrid search returning same doc from dense + sparse

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-16 10:25:04 +01:00

auth

perf: fix vector viz search performance and visual encoding

2025-11-16 07:01:35 +01:00

client

ci: temp disable sse in ci

2025-11-16 07:03:18 +01:00

controllers

fix: return all notes when search query is empty

2025-11-13 21:57:14 +01:00

document_processors

build: Add type checking