--- title: Export & Import (portable graph) slug: guides/export-and-import public: true category: guides template: guide order: 9 description: Export part or all of a brain to a portable, versioned PortableGraph document and import it back — by id, collection, connected neighbourhood, VFS subtree, predicate, or the whole brain. export() lives on the immutable Db, so asOf()/with() give time-travel and what-if exports. next: - guides/subtypes-and-facets - api/README --- # Export & Import (portable graph) Brainy serializes part or all of a brain — an item, a collection, a connected neighbourhood, a VFS subtree, a predicate match, or the whole brain — into a single versioned JSON document (`PortableGraph`), and restores it. ```typescript const graph = await brain.export() // whole brain → PortableGraph await brain.import(graph) // restore (merge by id, re-embed if no vectors) ``` It is **portable** (human-readable JSON), **versioned** (`formatVersion`, so a document written by 7.x imports cleanly into 8.0), and **current-state** (the entities and edges as they are now — no generation history). Use it for portable artifacts, partial exports, cross-environment moves, and version upgrades. `export()` is a method on the **immutable `Db` value**, so it composes with every way of obtaining one: ```typescript brain.export(sel) // = brain.now().export(sel) ;(await brain.asOf(gen)).export(sel) // time-travel export (a past generation) brain.now().with(ops).export(sel) // what-if export (a speculative state) ``` ## When to use which | You want… | Use | |-----------|-----| | A portable, partial-or-whole, cross-version graph document | **`brain.export()` / `brain.import()`** (this guide) | | A whole-brain snapshot **with generation history** | `brain.now().persist(path)` / `Brainy.load(path)` (native) | | To ingest a CSV / PDF / Excel / JSON **file** as new entities | `brain.import(file)` — see [Import Anything](./import-anything.md) | `import()` is **polymorphic**: hand it a `PortableGraph` and it does the graph round-trip; hand it a file/buffer and it does foreign-file ingestion (dispatched on the document's `format: 'brainy-portable-graph'` tag). ## Exporting ```typescript brain.export(selector?, options?): Promise // (also on any Db: brain.now().export(...), (await brain.asOf(g)).export(...)) ``` ### Selectors — *what* to export Omit the selector to export the whole brain. Otherwise pick a node set: | Scenario | Selector | |----------|----------| | Just an item (or items) | `{ ids: ['a', 'b'] }` | | A collection + its children | `{ collection: collectionId }` (alias `memberOf`) | | A connected neighbourhood | `{ connected: { from: id, depth: 2, verbs?, direction? } }` | | A VFS directory / file (+ subtree) | `{ vfsPath: '/docs', recursive?: true }` | | Everything matching a predicate | `{ type, subtype, where, service, visibility }` | | The whole brain | *(omit)* | The selector reuses `find()`'s grammar — *"export what `find()` would match, minus ranking and limit."* Structural and predicate selectors **compose**: ```typescript // Members of a collection whose status is "open" await brain.export({ collection: collectionId, where: { status: 'open' } }) // Already have find() results? Export exactly those with the ids selector const hits = await brain.find({ type: NounType.Document }) await brain.export({ ids: hits.map(r => r.id) }) ``` ### Options — *how* to serialize | Option | Default | Effect | |--------|---------|--------| | `includeVectors` | `false` | Carry embedding vectors verbatim. Off ⇒ `import()` re-embeds from `data`. | | `includeContent` | `false` | Include VFS file bytes in `blobs` so files round-trip byte-identically. | | `includeSystem` | `false` | Include `visibility:'system'` entities such as the VFS root. | | `edges` | `'induced'` | `'induced'` (both endpoints in the set), `'incident'` (also dangling edges, recorded in `danglingIds`), or `'none'` (nodes only). | ## Importing ```typescript brain.import(graph, options?): Promise ``` The whole graph is applied as **one atomic transaction** — it advances the brain exactly one generation, or none on failure. ```typescript const result = await brain.import(graph, { onConflict: 'merge' }) // → { imported, merged, skipped, reembedded, blobsWritten, errors } ``` | Option | Default | Effect | |--------|---------|--------| | `onConflict` | `'merge'` | `'merge'` (update existing id in place — assemble many exported graphs), `'replace'` (delete + recreate), or `'skip'`. | | `reembed` | `'auto'` | `'auto'` (use the carried vector, else re-embed from `data`) or `'never'` (require a carried vector; record an error if absent). | | `remapIds` | — | Rewrite every id on the way in, e.g. to clone a template subgraph under fresh ids. | | `meta` | — | Transaction metadata recorded in the tx-log alongside the new generation. | The default `onConflict: 'merge'` lets you assemble one working graph from many exported documents that share entity ids — re-importing an id merges rather than duplicates. ## The `PortableGraph` format ```jsonc { "format": "brainy-portable-graph", // identifies the document type "formatVersion": 1, // import gates on this (cross-version migration) "brainyVersion": "8.0.0", "createdAt": "2026-06-16T…Z", "embedding": { "model": "all-MiniLM-L6-v2", "dimensions": 384 }, "selector": { … }, // echoes what was exported (provenance) "entities": [ { "id": "…", "type": "Document", "subtype": "invoice", "visibility": "public", "data": "…", // the embedding source "confidence": 1, "weight": 1, "service": "…", "vector": [ … ], // only with includeVectors "metadata": { … } // custom fields only (reserved fields are top-level) } ], "relations": [ { "id":"…", "from":"…", "to":"…", "type":"Contains", "subtype":"…", "weight":1, "confidence":1, "metadata": { … } } ], "blobs": { "": "" }, // only with includeContent "danglingIds": [ "…" ], // only with edges:'incident' "stats": { "entityCount": 0, "relationCount": 0, "blobCount": 0, "vectorDimensions": 384 } } ``` Standard fields (`subtype`, `visibility`, `data`, `confidence`, `weight`, `service`) sit at the top level of each entity; `metadata` holds **only** custom user fields — mirroring the in-memory `Entity` shape, so `import()` maps each field to its dedicated parameter. The TypeScript types (`PortableGraph`, `PortableGraphEntity`, `PortableGraphRelation`, `ExportSelector`, `ExportOptions`, `ImportOptions`, `ImportResult`) are exported from the package root. ## Generations & time-travel The portable document is **current-state** — it never embeds generation history (that keeps it cross-version-portable). History lives where it's queryable: - **During a session:** `brain.asOf(g)` / `brain.now().with(ops)` on the live brain. Because `export()` is on the `Db`, `(await brain.asOf(g)).export()` serializes a *past* generation and `brain.now().with(ops).export()` serializes a *speculative* one. - **A whole-brain snapshot with history:** `brain.now().persist(path)` / `Brainy.load(path)` (native, generation-preserving) — a separate facility from this portable format. Note: only `transact()` (and the write shortcuts that commit through it) advances a generation, so time-travel export differs across transaction boundaries. ## Cross-version (7.x → 8.0) Because the document is shared and versioned, a PortableGraph written by 7.x imports into 8.0: `formatVersion` is read forward, `subtype` is carried so 8.0 re-types correctly, and the same 384-dimension model on both lines means `includeVectors:false` re-embeds identically (or `true` carries vectors verbatim). ## VFS VFS directories are `Collection` entities and files are entities linked by `Contains`, so the whole filesystem (or any subtree) exports through the `vfsPath` selector: ```typescript await brain.export({ vfsPath: '/' }, { includeContent: true }) // all VFS + bytes await brain.export({ vfsPath: '/docs' }, { includeContent: true }) // one directory await brain.export({ vfsPath: '/a/b.txt' }, { includeContent: true }) // one file ```