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.
Related implementations across industries and use cases
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.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Single-step workflows failed at deep research. Autonomous agents now run parallel investigations to deliver structured data in seconds.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Related implementations across industries and use cases
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.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Single-step workflows failed at deep research. Autonomous agents now run parallel investigations to deliver structured data in seconds.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.