35% Boost in User Confidence: Transforming Enterprise Search With Vespa and Google Vertex AI

AI-driven enterprise search solution accelerated information access, improved data security, and enhanced user satisfaction.

35%

Increase in user confidence: Improved search accuracy and reliability boosted user trust.

50%

Scalability improvement: System scaled efficiently to handle higher data volumes without performance loss.

<5%

Scalability improvement: System scaled efficiently to handle higher data volumes without performance loss.

IndustryTechnology
Company typeFast-Scaling Startup
CountryUnited States
Services usedTuring Intelligence
35% Boost in User Confidence: Transforming Enterprise Search With Vespa and Google Vertex AI

About the client

A leading platform-as-a-service (PaaS) company that helps developers build apps with real-time audio and video capabilities. The platform offers customizable APIs that simplify integrating real-time communication features.

The problem

The client faced challenges in accessing scattered enterprise data efficiently, leading to delays in decision-making and reduced productivity. The existing search functionality was limited to basic keyword searches, resulting in low user engagement. Additionally, there was a need for improved data security to comply with evolving regulations and build user trust.

The solution

The client, with support from Turing, built a centralized, AI-powered enterprise search platform to improve data accessibility, search accuracy, and compliance.

a. AI-driven enterprise search system

  • Google’s enterprise search & generative AI: Enhanced search efficiency, enabling faster and more relevant results.
  • Conversational chatbot with Codey API: Enabled interactive multi-turn queries, improving user engagement and data traceability.
  • Vertex AI & cloud storage integration: Ensured rapid information retrieval while maintaining scalability.

b. Scalable & efficient data processing

  • VESPA’s vector search & embedding: Allowed advanced data indexing and efficient retrieval.
  • Optimized data ingestion: Structured metadata and embeddings improved search accuracy.

c. Secure & compliant data handling

  • Data encryption & privacy controls: Ensured secure data processing and compliance with evolving regulations.
  • User access control & audits: Strengthened data governance to maintain security and integrity.

The result

  • Enabled faster data access, streamlining workflows across departments.
  • 35% increase in user confidence, driven by accurate and reliable search results.
  • 50% scalability improvement, allowing the system to handle higher data volumes without performance degradation.
  • <5% operational disruption, ensuring seamless integration with minimal business impact.

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