Customer Pain Points

High cost of storage and retrieval

Managing hundreds of billions of vectors costs tens of millions per month, creating financial strain.

Performance bottlenecks

The legacy system struggles to handle millions of daily queries with sub-100ms response times, affecting real-time performance.

Low search accuracy

Poor search accuracy and lack of multi-path recall mechanisms lead to unreliable results, impacting business effectiveness.

Complex infrastructure dependencies

Managing multiple retrieval components adds complexity, with each new tool requiring security approval and creating operational inefficiencies.

solution

AI-powered data analysis

RAG

(Retrieval-Augmented Generation)