Files
gitlore/src/search/mod.rs
Taylor Eernisse d5bdb24b0f feat(search): Add hybrid search engine with FTS5, vector, and RRF fusion
Implements the search module providing three search modes:

- Lexical (FTS5): Full-text search using SQLite FTS5 with safe query
  sanitization. User queries are automatically tokenized and wrapped
  in proper FTS5 syntax. Supports a "raw" mode for power users who
  want direct FTS5 query syntax (NEAR, column filters, etc.).

- Semantic (vector): Embeds the search query via Ollama, then performs
  cosine similarity search against stored document embeddings. Results
  are deduplicated by doc_id since documents may have multiple chunks.

- Hybrid (default): Executes both lexical and semantic searches in
  parallel, then fuses results using Reciprocal Rank Fusion (RRF) with
  k=60. This avoids the complexity of score normalization while
  producing high-quality merged rankings. Gracefully degrades to
  lexical-only when embeddings are unavailable.

Additional components:

- search::filters: Post-retrieval filtering by source_type, author,
  project, labels (AND logic), file path prefix, created_after, and
  updated_after. Date filters accept relative formats (7d, 2w) and
  ISO dates.

- search::rrf: Reciprocal Rank Fusion implementation with configurable
  k parameter and optional explain mode that annotates each result
  with its component ranks and fusion score breakdown.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-30 15:46:42 -05:00

15 lines
383 B
Rust

mod filters;
mod fts;
mod hybrid;
mod rrf;
mod vector;
pub use fts::{
generate_fallback_snippet, get_result_snippet, search_fts, to_fts_query, FtsQueryMode,
FtsResult,
};
pub use filters::{apply_filters, PathFilter, SearchFilters};
pub use rrf::{rank_rrf, RrfResult};
pub use vector::{search_vector, VectorResult};
pub use hybrid::{search_hybrid, HybridResult, SearchMode};