catlog22 de4158597b Implement search and reranking functionality with FTS and embedding support ...

- Added BaseReranker abstract class for defining reranking interfaces.
- Implemented FastEmbedReranker using fastembed's TextCrossEncoder for scoring document-query pairs.
- Introduced FTSEngine for full-text search capabilities using SQLite FTS5.
- Developed SearchPipeline to integrate embedding, binary search, ANN indexing, FTS, and reranking.
- Added fusion methods for combining results from different search strategies using Reciprocal Rank Fusion.
- Created unit and integration tests for the new search and reranking components.
- Established configuration management for search parameters and models.

2026-03-16 23:03:17 +08:00

..

__init__.py

Implement search and reranking functionality with FTS and embedding support

2026-03-16 23:03:17 +08:00

conftest.py

Implement search and reranking functionality with FTS and embedding support

2026-03-16 23:03:17 +08:00

test_search_pipeline.py

Implement search and reranking functionality with FTS and embedding support

2026-03-16 23:03:17 +08:00