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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 containerTag. 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.

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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.

Container tags

The isolation boundary every ingest and retrieve call is scoped to.

Memory vs RAG

When to reach for search, profiles, or both.

Benchmarking

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