~95%
“a ~95% reduction of time, freeing up human agents to focus on more complex issues”
Tal como se publicó en pinecone.io. Capturado por usedby el 8 oct 2026.
Qué pasó
Assembled uses Pinecone vector search, combined with Algolia keyword search, to retrieve relevant information for its Assembled Assist tool. Assist uses LLMs to generate contextual responses to customer support tickets, and the retrieval step supports those responses through a RAG approach.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Pinecone y de Assembled, no nuestras.
With Assembled Assist, tasks that once took 40 minutes are now completed in just 2 minutes — a ~95% reduction of time, freeing up human agents to focus on more complex issues.
Pinecone was a no-brainer for us. We needed to move quickly, and Pinecone was the leader in the vector database space. Its cost-effectiveness and ease of integration have been significant advantages, allowing us to focus on delivering value rather than managing infrastructure. We can test and adjust on the fly, which is crucial for maintaining high search quality and continuously enhancing our support solutions.
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 8 oct 2026.
- La cifra: ~95%VerificadoImpresa palabra por palabra en la página, cerca del nombre de Assembled.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Assembled.
- Assembled usa PineconeVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 8 oct 2026.
- El resultado en síNo verificadoLo citamos; no lo medimos.
Más historias
Misma empresa, misma herramienta o mismo sector.
