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Overview

Semantic Cache is a smart performance feature that helps your AI work faster and more affordably. Think of it as a “memory” for your store’s AI assistants. When you or your team ask the AI a question (for example, “Find all red summer dresses under $50”), the system remembers the result.

If anyone asks a similar question later, the system provides the answer instantly from its memory instead of asking the AI to start from scratch. This delivers two main benefits:

  • Lightning Speed: Get results in milliseconds rather than waiting for the AI to process.
  • Cost Savings: Reusing previous answers saves on AI credits, making your operations more efficient.

You can experience the benefits of the Semantic Cache whenever you use the AI chat features or automated AI mapping tools.

[navigate:/aiChats|Open AI Chat|chat]

Tips

**Team Synergy**
The Semantic Cache is shared across your entire organization. If one team member builds a complex filter using AI, everyone else on the team benefits from the instant cached response when they need similar data.

**Be Specific**
The more descriptive your AI prompts are, the more effectively the system can store and retrieve the right answers. Clear, consistent language helps the "memory" stay organized and accurate.

Troubleshooting

**Nuanced Variations**
The cache uses "meaning-based" matching to find similar queries. Because of this, extremely small variations in how you phrase a prompt might occasionally return a previously cached answer that was close, but not identical, to your intent.
  • [navigate:/help/en/ai-credit|What Is AI Credit?|sparkles]
  • [navigate:/help/en/user-flows/ai-chat-sessions|AI Chat Sessions & Prompts|bot]
  • [navigate:/help/en/user-flows/semantic-search|Semantic Search|search]
  • [navigate:/help/en/user-flows/image-similarity-search|Image Similarity Search|image]