Weaviate
Open-source vector database with hybrid keyword and vector search built in.
Aperçu
Weaviate is an open-source vector database that combines vector similarity with keyword search in a single query, a technique usually called hybrid search. It solves the problem that pure vector search can miss exact matches: identifiers, error codes and rare terms are poorly represented in embedding space but trivially matched by keywords. It exists because most real corpora need both. It can be self-hosted or consumed as a managed service.
Graphe des technologies
Comment Weaviate se rattache au reste de la pile.
Utilise et dépend de
- Embedding concept Techniques Weaviate uses Embedding High ✓ source
Outils
Logiciels qui implémentent Weaviate ou s'y intègrent.
LLM Frameworks
Alternatives
Comparaisons
Comparaisons détaillées avec les alternatives ci-dessus.