Hybrid Search
Combining keyword and vector retrieval, then merging the two rankings.
Aperçu
Hybrid search runs a lexical and a semantic query in parallel and fuses the results, usually by reciprocal rank. It solves the problem that each method fails differently: keyword search misses paraphrases, and embedding search misses exact identifiers, names and rare tokens. It exists because the union of the two is more robust than either, which is what most production retrieval actually runs.
Graphe des technologies
Comment Hybrid Search se rattache au reste de la pile.
Utilise et dépend de
- Embedding concept Techniques Hybrid Search uses Embedding High ✓ source
Appliqué à
- AI Search application Applications Hybrid Search used for AI Search High ✓ source