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...
Character.AI's Real-time search is part of this use case:
Conversational AI platform for creating and interacting with custom digital characters.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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...
Character.AI's Real-time search is part of this use case:
Conversational AI platform for creating and interacting with custom digital characters.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.