searchHybrid method

Future<List<HybridSearchResult>> searchHybrid(String query, { int topK = 10, double vectorWeight = 0.5, double bm25Weight = 0.5, })

Hybrid search combining vector and keyword (BM25) search.

This method uses Reciprocal Rank Fusion (RRF) to combine:

• Vector search: semantic similarity using embeddings
• BM25 search: keyword matching for exact terms

Use this for better results when searching for:

• Proper nouns (names, product models)
• Technical terms or code snippets
• Exact keyword matches

Parameters:

• query: The search query text
• topK: Number of results to return (default: 10)
• vectorWeight: Weight for vector search (0.0-1.0, default: 0.5)
• bm25Weight: Weight for BM25 search (0.0-1.0, default: 0.5)

Implementation

Future<List<hybrid.HybridSearchResult>> searchHybrid(
  String query, {
  int topK = 10,
  double vectorWeight = 0.5,
  double bm25Weight = 0.5,
}) async {
  // 1. Generate query embedding
  final queryEmbedding = await EmbeddingService.embed(query);

  // 2. Perform hybrid search with RRF fusion
  final results = await hybrid.searchHybridWeighted(
    dbPath: dbPath,
    queryText: query,
    queryEmbedding: queryEmbedding,
    topK: topK,
    vectorWeight: vectorWeight,
    bm25Weight: bm25Weight,
  );

  return results;
}