Definition
In RAG and AI Agent architectures, persistent storage refers to non-volatile data layers—such as vector databases or stateful backends—that preserve document embeddings, metadata, and agent conversation histories beyond the lifecycle of a single execution or session. It ensures system durability and long-term memory by trading the extreme low latency of in-memory caches for data consistency and the ability to scale to millions of records.
Distinguish from ephemeral context window memory or local RAM that is purged when an LLM call or script finishes.
"A Reference Library's Bookshelves: Unlike the temporary notes on a researcher's desk that are cleared at the end of the day, these shelves store information permanently for any future query."
- Vector Database(Primary Implementation)
- State Management(Architectural Component)
- Long-term Memory(Functional Goal)
- Indexing(Prerequisite Process)
Conceptual Overview
In RAG and AI Agent architectures, persistent storage refers to non-volatile data layers—such as vector databases or stateful backends—that preserve document embeddings, metadata, and agent conversation histories beyond the lifecycle of a single execution or session. It ensures system durability and long-term memory by trading the extreme low latency of in-memory caches for data consistency and the ability to scale to millions of records.
Disambiguation
Distinguish from ephemeral context window memory or local RAM that is purged when an LLM call or script finishes.
Visual Analog
A Reference Library's Bookshelves: Unlike the temporary notes on a researcher's desk that are cleared at the end of the day, these shelves store information permanently for any future query.