Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
An AI entertainment platform hosting millions of simultaneous conversations across a massive dataset of user-generated characters.
The legacy search stack updated indices only once every 24 hours, preventing new content from appearing quickly, while complex restarts delayed...
Conversational AI platform for creating and interacting with custom digital characters.
In-memory data platform for real-time applications, caching, and vector search.
Character.AI's Real-time search is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Brands struggled to catch fleeting trends. Now, AI search digests tens of millions of daily data points for millisecond results.
AI that drafts and summarizes hands the real work back. Claude finishes it—ticket triage, contract review—for 350,000 organizations.
IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
An AI entertainment platform hosting millions of simultaneous conversations across a massive dataset of user-generated characters.
The legacy search stack updated indices only once every 24 hours, preventing new content from appearing quickly, while complex restarts delayed...
Conversational AI platform for creating and interacting with custom digital characters.
In-memory data platform for real-time applications, caching, and vector search.
Character.AI's Real-time search is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Brands struggled to catch fleeting trends. Now, AI search digests tens of millions of daily data points for millisecond results.
AI that drafts and summarizes hands the real work back. Claude finishes it—ticket triage, contract review—for 350,000 organizations.
IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.