# KV vs Prefix vs Prompt vs Semantic Caching

DevFeed: [KV vs Prefix vs Prompt vs Semantic Caching](<https://devfeed.tech/articles/kv-vs-prefix-vs-prompt-vs-semantic-caching-18238.md>)

Original publisher: [Read original article](<https://blog.dailydoseofds.com/p/kv-vs-prefix-vs-prompt-vs-semantic>)

Author: Avi Chawla

Published: 2026-08-27T20:01:47Z

Content type: article

Language: en

Sources: [Daily Dose of Data Science](<https://devfeed.tech/sources/daily-dose-of-data-science.md>)

Topics: [Caching](<https://devfeed.tech/topics/caching.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Neo4j](<https://devfeed.tech/topics/neo4j.md>)

Tags: [caching](<https://devfeed.tech/tags/caching.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [memory](<https://devfeed.tech/tags/memory.md>), [nvme](<https://devfeed.tech/tags/nvme.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [server](<https://devfeed.tech/tags/server.md>), [token](<https://devfeed.tech/tags/token.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

The article distinguishes KV caching, prefix caching, prompt caching, and semantic caching in LLM systems. It explains what each cache stores, how exact-match and fuzzy-match behavior differ, and how cache misses affect cost, latency, and correctness. It also describes Konig's tiered storage approach for many small knowledge graphs, though the supplied text is truncated.

## Source excerpt

...explained with best practices in production.