Skip to main content
Everything in this section is one of four steps. Same loop whether you’re building personal memory, RAG over docs, or both on the same namespace.
1

Get started

2

Ingest — get content in

3

Retrieve — get context back out

4

Manage

Raw input automatically becomes memories (the knowledge graph) and indexed document chunks (for RAG). You don’t choose one or the other; both come from the same write. Retrieval then gives you three ways to read that pool back. If you’re unsure which fits, read Memory vs RAG.

​
Where next

Quickstart

Walk the whole loop end to end with one working example.

How it works

What happens between add() and a memory showing up in search.

Namespaces

The isolation boundary every ingest and retrieve call is scoped to (v3/v4 called it a container tag).

Memory vs RAG

When to reach for search, profiles, or both.

Benchmarking

Run standardized, reproducible evals against Supermemory and other providers — including your own.