Semantic Cache Router

Overview

Semantic Cache Router is a distributed semantic cache and stateful routing system that reduces LLM API costs by returning cached responses for semantically similar queries. It uses ANN vector search with a cosine similarity threshold of 0.8 or higher to match incoming queries against stored embeddings.

Best for

Best for
Developers looking to lower LLM API costs for applications with repetitive or semantically similar query patterns

Use cases

• Reduce API spend by caching frequent or near-duplicate user prompts
• Serve semantically similar queries from cache instead of calling an LLM
• Route user requests to previously computed responses based on semantic match

Notes

Semantic Cache Router is a distributed semantic cache and stateful routing system that reduces LLM API costs by returning cached responses for semantically similar queries. It uses ANN vector search with a cosine similarity threshold of 0.8 or higher to match incoming queries against stored embeddings.

1 stars on GitHub. Last updated 2026-04-05.

Use cases

• Reduce API spend by caching frequent or near-duplicate user prompts
• Serve semantically similar queries from cache instead of calling an LLM
• Route user requests to previously computed responses based on semantic match

Pros

• Directly cuts LLM API costs by avoiding redundant model calls
• Reduces response latency for cached queries via vector search
• Distributed architecture supports horizontal scaling

Cons

• Very low community adoption (1 star on GitHub) indicates early-stage project
• Semantic matching accuracy depends on embedding quality and threshold tuning
• Cache misses or incorrect matches may degrade user experience

Indexed from awesome-llmops and enriched against its public facts.