A phone launch, a breaking story, a Vietnamese phrase — keyword search came up short. Semantic retrieval now covers 92% of AI Search.
Vietnam's number-two search engine and browser, reaching one in three internet users with over 600 million monthly searches, built on language models the team fine-tuned for Vietnamese.
Building AI search into a national-scale engine meant retrieving by meaning, not keyword, across hundreds of millions of items in milliseconds....
Web browser and search engine tailored for the Vietnamese market.
Vector database platform for building and scaling AI applications.
Cốc Cốc's Search relevance is part of this use case:
Related implementations across industries and use cases
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
GPU clusters bottlenecked Kakao's AI. Switching to Cloud TPUs, the team upcycled a 2.1B model into a 13.4B parameter MoE system.
Leaning on external APIs for sensitive government workflows cost MISA control and cash. On-premise AI factory cut it.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
A phone launch, a breaking story, a Vietnamese phrase — keyword search came up short. Semantic retrieval now covers 92% of AI Search.
Vietnam's number-two search engine and browser, reaching one in three internet users with over 600 million monthly searches, built on language models the team fine-tuned for Vietnamese.
Building AI search into a national-scale engine meant retrieving by meaning, not keyword, across hundreds of millions of items in milliseconds....
Web browser and search engine tailored for the Vietnamese market.
Vector database platform for building and scaling AI applications.
Cốc Cốc's Search relevance is part of this use case:
Related implementations across industries and use cases
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
GPU clusters bottlenecked Kakao's AI. Switching to Cloud TPUs, the team upcycled a 2.1B model into a 13.4B parameter MoE system.
Leaning on external APIs for sensitive government workflows cost MISA control and cash. On-premise AI factory cut it.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.