Enterprise AI search

Turn knowledge into action with lightning-fast, AI-powered search. 

Fast and effective search when it matters most 

Knowledge is spread across wikis, CRM platforms, collaboration tools and legacy databases, and finding the right answer costs teams time they do not have. Enterprise AI search brings these sources into one search experience that blends lexical and semantic retrieval. 

QKTech combines Elasticsearch and DevRev Search to surface insights from wikis, CRM platforms, collaboration tools and legacy databases. As an enterprise AI search provider, we implement, integrate and operate both, serving internal teams and customer-facing applications through hybrid retrieval. 

On the Elastic side, we target sub-second queries from day one without overhauling existing systems, and streaming monitoring tracks query latency, error rates and resource usage to protect SLAs, with a 99.9% uptime target. 

Turn search into strategy 

Elastic search implementation, integration and operations 

We run Elasticsearch without overhauling existing systems, handling logs, metrics and transactional data at scale, with sub-second queries targeted from day one. 

DevRev search implementation, integration and operations 

DevRev Search lets users find tickets, engineering records, contracts and documentation from one search bar, deployed across tools such as Salesforce, Jira, Slack and Notion. 

Streaming monitoring for ultra-high-volume search applications 

We track query latency, error rates and resource usage to maintain SLAs, with a 99.9% uptime target and early anomaly detection. 

Elastic dashboards for actionable insights 

We build dashboards with Lens and TSVB and add AI-assisted analytics, which helps teams detect issues faster. 

What results does enterprise AI search deliver? 

25M+

users supported with zero downtime under hypercare Elasticsearch monitoring

50 to 60x 

reduction in big data indexes for advanced analytics projects 

99.9% 

reduction in big data indexes for advanced analytics projects 

Pick a feature or go full suite

Enterprise-Scale Search Infrastructure 

Smooth integration of structured and unstructured data 

Advanced search for workplace, eCommerce and support 

Hybrid Lexical + Semantic Retrieval 

Hybrid Lexical + Semantic Retrieval 

High-performance search for apps and websites 

25 years of outcomes you can count on 

Instant access to relevant insights 

Smarter decisions with real-time data 

Better customer experience through faster responses 

Scalability for growing data needs 

Stronger governance and compliance 

Cost savings from operational efficiency 

Insights

Common questions about enterprise AI search 

What is enterprise AI search? 

Enterprise AI search lets people find answers across wikis, CRM platforms, collaboration tools and legacy databases from one search experience, using AI to rank and retrieve what is relevant. QKTech delivers it with Elasticsearch and DevRev Search. 

What is hybrid lexical and semantic retrieval? 

Hybrid retrieval blends keyword matching with semantic search, which finds exact terms and related meaning in the same query. QKTech uses it for internal teams and customer-facing applications. 

What does QKTech do as an enterprise AI search partner? 

QKTech implements, integrates and operates Elasticsearch and DevRev Search, builds Lens and TSVB dashboards and monitors query latency, error rates and resource usage to maintain SLAs. 

Can enterprise AI search cover our CRM, wikis and legacy databases? 

Yes. QKTech connects structured and unstructured sources, including wikis, CRM platforms, collaboration tools and legacy databases, and DevRev Search can span tools such as Salesforce, Jira, Slack and Notion. 

How do you keep search fast at high volume? 

We target sub-second queries from day one and run streaming monitoring on query latency, error rates and resource usage, with early anomaly detection and a 99.9% uptime target. 

Get insights that matter. Deliver experiences that are simply better.

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