> ## Documentation Index
> Fetch the complete documentation index at: https://supermemory.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Recall

> Semantic search over memories, document chunks, or both — plus user profiles.

Get context back out of Supermemory: search extracted memories / documents, or fetch a user profile.

| Endpoint                   | Role                                                                |
| -------------------------- | ------------------------------------------------------------------- |
| `POST /v4/search`          | Primary recall — `searchMode`: `memories`, `documents`, or `hybrid` |
| `POST /v3/search`          | Document / SuperRAG-oriented search                                 |
| `POST /v4/profile`         | Static + dynamic profile for a container                            |
| `POST /v4/profile/buckets` | Profile organized by custom buckets                                 |

Prefer **v4** with `searchMode: "hybrid"` unless you only need document chunks or only extracted memories.

**Guides:** [Search](/docs/recall/search) · [User profiles](/docs/recall/user-profiles) · [SuperRAG](/docs/concepts/super-rag) · [Memory vs RAG](/docs/concepts/memory-vs-rag)