Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
One of Asia's most-visited automotive websites serves 142 million monthly active users who compare vehicle specifications and check live pricing from over 20,000 dealerships.
The legacy keyword search infrastructure struggled to process complex, multi-condition natural language queries for specific vehicle configurations....
“FAISS is an algorithm library, not a database. It has no persistence, no horizontal scaling, and no failure recovery. All of that would need to be built from scratch. Engineers would spend half their time keeping the system running rather than improving search.”
Automotive marketplace and information portal for the Chinese vehicle market.
Vector database platform for building and scaling AI applications.
BitAuto's Site search is part of this use case:
Related implementations across industries and use cases
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Fixing 60,000 compliance errors per module bottlenecked scarce engineers. Now, three AI agents draft transparent fixes for human approval.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Ads held attention for mere seconds. A voice-driven AI quarterback now hosts trivia games, turning passive viewers into active leads.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
One of Asia's most-visited automotive websites serves 142 million monthly active users who compare vehicle specifications and check live pricing from over 20,000 dealerships.
The legacy keyword search infrastructure struggled to process complex, multi-condition natural language queries for specific vehicle configurations....
“FAISS is an algorithm library, not a database. It has no persistence, no horizontal scaling, and no failure recovery. All of that would need to be built from scratch. Engineers would spend half their time keeping the system running rather than improving search.”
Automotive marketplace and information portal for the Chinese vehicle market.
Vector database platform for building and scaling AI applications.
BitAuto's Site search is part of this use case:
Related implementations across industries and use cases
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Fixing 60,000 compliance errors per module bottlenecked scarce engineers. Now, three AI agents draft transparent fixes for human approval.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Ads held attention for mere seconds. A voice-driven AI quarterback now hosts trivia games, turning passive viewers into active leads.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.