Semantic cache

Semantic cache

Speeds up repeated queries

All Features Documentation

Feature Description

Caches responses to semantically similar queries, enabling faster replies and lower costs for repetitive LLM usage scenarios.

How It Works

Learn how Semantic cache integrates into your workflow, optimizes processes, and ensures reliability across your AI operations.

Key Benefits

Speeds up repeated queries

Enhances response times

Reduces operational costs

Use Cases

Chatbots and virtual assistants with frequent repeated queries

Cost optimization for high-volume LLM usage

Frequently Asks Questions

What is a semantic cache?

A semantic cache stores and reuses responses for similar queries, improving speed and reducing costs.

How does semantic caching reduce costs?

By reusing cached responses, it reduces the number of expensive LLM calls.

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