EDGE OSDEFINITION
Semantic caching is a cache that stores past queries and responses and can be used to find semantically similar queries. It can be used to find if there is any existing response by checking if the embeddings are similar. What makes it more effective is its ease of use while helping AI in asking query that too in multiple ways. However, it is necessary to consider how context, authorization, and recency are handled.
Importance
- Reduces latency by providing cached responses which are relevant.
- Saves costs in AI by reducing calls to language models or retrieval.
- Improves scalability by handling frequent or similar queries.
- Improves efficiency by reusing responses.
- Reduces resource usage by reducing redundant computations in supported workflows.
Use Cases
- AI Chatbots to handle frequent or similar queries.
- Knowledge assistants within enterprises to handle frequent employee queries.
- Customer Support to answer frequent product queries.
- RAG applications to frequently retrieve similar information.
- AI Applications where you want to reduce redundant inference requests.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.