Same question? Instant answer.
Our semantic cache understands meaning, not just exact matches. Similar prompts return cached responses in milliseconds.
40%
Cost Reduction
Average savings from cache hits on semantically similar requests across all models.
<5ms
Cache Hits
Cached responses return near-instantly, improving UX and throughput.
Smart
Invalidation
TTL policies and manual controls ensure stale data never reaches users.
How it works
1
Generate embeddings
Every prompt is converted to a vector embedding for semantic comparison.
2
Match by similarity
Incoming requests are compared against cached prompts using cosine similarity.
3
Enforce TTL policies
Set expiration rules per model, endpoint, or use case to balance freshness and savings.