50K+
“Instabase is able to store 50K+ tenants in the Weaviate cluster and query data from specific tenants within milliseconds.”
Tal como se publicó en weaviate.io. Capturado por usedby el 2 oct 2026.
Qué pasó
Instabase uses Weaviate as the vector database behind its AI Hub platform to index, store, and retrieve large volumes of unstructured documents with high retrieval accuracy and low latency. Weaviate's hybrid search and flexible cloud or on-prem deployment let it serve customers in highly regulated environments.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Weaviate y de Instabase, no nuestras.
- 450+“With Weaviate, Instabase was able to support the ingestion and indexing of 450+ data types for a single customer solution.”
Instabase is able to store 50K+ tenants in the Weaviate cluster and query data from specific tenants within milliseconds.
Accuracy determines the amount of savings any large institution can get. If the results aren’t accurate or take too long to surface, a human needs to get involved, and the cost savings are greatly reduced. So accuracy and speed are critical for us.
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 3 oct 2026.
- La cifra: 50K+VerificadoImpresa palabra por palabra en la página, cerca del nombre de Instabase.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Instabase.
- Instabase usa WeaviateVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 2 oct 2026.
- El resultado en síNo verificadoLo citamos; no lo medimos.



