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.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
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.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
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.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.