# Architecture
OmniGraph is a typed property-graph engine built as a coordination layer over many Lance datasets, with Git-style branches and commits across the whole graph, multi-modal querying (vector + FTS + BM25 + RRF + graph traversal) in one runtime, an HTTP server with Cedar policy, and a CLI driven by a single `omnigraph.yaml`.
## Reading guide
Three views, increasing zoom:
1. **System context** — what OmniGraph is and what it touches.
2. **Layer view** — the eight-layer stack inside one OmniGraph process.
3. **Component zoom-ins** — what's inside each layer.
For runtime flows (read query, mutation), see [`docs/execution.md`](execution.md). For the on-disk layout of a repo, see [`docs/storage.md`](storage.md).
L1 (orange in the diagrams) is what we inherit from Lance; L2 (blue) is what OmniGraph adds. The L1/L2 framing is also called out in prose at the bottom of this doc.
## System context
```mermaid
flowchart LR
classDef external fill:#fef3e8,stroke:#c46900,color:#000
classDef omnigraph fill:#e8f4fd,stroke:#1e6aa8,color:#000
classDef store fill:#f0f0f0,stroke:#555,color:#000
cli[CLI users]:::external
http[HTTP clients
and SDKs]:::external
agents[Agents]:::external
embed[Embedding providers
OpenAI / Gemini]:::external
og[OmniGraph
kernel]:::omnigraph
cedar[Cedar policy
engine]:::external
s3[Object store
local FS / S3 / RustFS]:::store
cli --> og
http --> og
agents --> og
og --> embed
og --> cedar
og --> s3
```
OmniGraph runs as a single process (one binary, multiple crates). External dependencies are the embedding APIs (called during ingest and at query-time normalization), Cedar (called for every privileged action), and an object store (everything OmniGraph persists lands here).
## Layer view
Inside the OmniGraph process, work flows through these layers:
```mermaid
flowchart TB
classDef l2 fill:#e8f4fd,stroke:#1e6aa8,color:#000
classDef l1 fill:#fef3e8,stroke:#c46900,color:#000
subgraph CLIs[CLI and HTTP server]
cli[omnigraph CLI]:::l2
srv[omnigraph-server
Axum + Cedar]:::l2
end
subgraph compiler[omnigraph-compiler]
front[parse → AST → typecheck → catalog → IR]:::l2
end
subgraph engine[omnigraph engine]
plan[exec query and mutation]:::l2
gi[graph index CSR/CSC
RuntimeCache LRU 8]:::l2
coord[coordinator
ManifestRepo · CommitGraph]:::l2
end
subgraph storage[storage trait — wraps Lance]
ts[table_store · storage.rs
direct lance::Dataset today]:::l2
end
subgraph lance_layer[Lance 4.x — substrate]
lance[per-dataset versions, fragments
BTREE · Inverted FTS · IVF/HNSW vector
merge_insert · compact_files · cleanup_old_versions]:::l1
end
subgraph object_store[Object store]
os[local FS · S3 · RustFS · MinIO]:::l1
end
CLIs -- "string + params" --> compiler
compiler -- IROp --> engine
engine -- "scan / write request" --> storage
storage -- "Stream of RecordBatch" --> engine
storage -- "Lance API calls" --> lance_layer
lance_layer -- bytes --> object_store
```
The `storage trait` row is partly aspirational. Today the engine calls `lance::Dataset` methods through `table_store`; a capability-bearing `Dataset` trait per [`docs/invariants.md`](invariants.md) §I.4 is on the roadmap (MR-737). The diagram shows the intended seam.
## Component zoom-ins
### Compiler — `omnigraph-compiler`
```mermaid
flowchart LR
classDef l2 fill:#e8f4fd,stroke:#1e6aa8,color:#000
src[".gq source"]:::l2
p[parser Pest
query.pest · schema.pest]:::l2
ast[AST
QueryDecl · Mutation · Schema]:::l2
cat[catalog
NodeType · EdgeType · Interface]:::l2
tc[typecheck
typecheck_query]:::l2
low[lower
lower_query]:::l2
ir[IROp pipeline
NodeScan · Expand · Filter · AntiJoin]:::l2
src --> p --> ast --> tc
cat --> tc
tc --> low --> ir
```
The compiler crate has zero Lance dependency. It owns the schema language, the query language, and the AST → IR lowering.
Code paths:
- Parser: `crates/omnigraph-compiler/src/query/parser.rs`, `crates/omnigraph-compiler/src/query/query.pest`
- Typecheck: `crates/omnigraph-compiler/src/query/typecheck.rs:83` (`typecheck_query`)
- Lower: `crates/omnigraph-compiler/src/ir/lower.rs:11` (`lower_query`)
- Catalog: `crates/omnigraph-compiler/src/catalog/`
### Engine — `omnigraph` crate
```mermaid
flowchart TB
classDef l2 fill:#e8f4fd,stroke:#1e6aa8,color:#000
subgraph exec[exec module]
eq[query · execute_query
query.rs:347]:::l2
em[mutation · mutate
mutation.rs:511]:::l2
ld[loader · ingest
loader/mod.rs:74]:::l2
end
subgraph state[graph state]
coord[GraphCoordinator]:::l2
mr[ManifestRepo
db/manifest.rs]:::l2
cg[CommitGraph
_graph_commits.lance]:::l2
stg[MutationStaging
per-query in-memory accumulator
exec/staging.rs]:::l2
end
subgraph idx[graph index]
gi[GraphIndex
CSR/CSC built per query]:::l2
rc[RuntimeCache LRU=8]:::l2
end
subgraph io[Lance I/O]
ts[table_store]:::l2
st[storage adapter
storage.rs]:::l2
end
eq --> gi
eq --> ts
em --> stg
em --> ts
ld --> stg
ld --> ts
eq --> mr
em --> mr
coord --> mr
coord --> cg
ts --> st
```
The engine binds the compiler IR to Lance. It owns multi-dataset coordination, the graph topology index, the per-query staging accumulator, and the snapshot/manifest read path.
Code paths:
- Read entry: `Omnigraph::query` at `crates/omnigraph/src/exec/query.rs:7`
- Mutation entry: `Omnigraph::mutate` at `crates/omnigraph/src/exec/mutation.rs:511`
- Manifest commit: `ManifestRepo::commit` at `crates/omnigraph/src/db/manifest.rs:280`
- Graph index: `crates/omnigraph/src/graph_index/`
- Loader: `Omnigraph::ingest` at `crates/omnigraph/src/loader/mod.rs:74`
### Mutation atomicity — in-memory accumulator (MR-794)
Inserts and updates inside `mutate_as` and the bulk loader's
Append/Merge modes go through `MutationStaging`
([`crates/omnigraph/src/exec/staging.rs`](../crates/omnigraph/src/exec/staging.rs)),
a per-query in-memory accumulator. No Lance HEAD advance happens during
op execution; one `stage_*` + `commit_staged` per touched table runs
at end-of-query, then the publisher commits the manifest atomically.
```
op-1 (insert/update) → push RecordBatch → MutationStaging.pending[table]
op-2 (insert/update) → read committed via Lance + pending via DataFusion
MemTable (read-your-writes) → push batch
op-N → push batch
─── end of query ───────────────────────────────────────
finalize: per pending table:
concat batches → stage_append OR stage_merge_insert → commit_staged
publisher: ManifestBatchPublisher::publish (one cross-table CAS)
```
A failed op leaves Lance HEAD untouched on the staged tables: the next
mutation proceeds normally with no drift to reconcile. Concrete
contracts:
- `D₂` parse-time rule: a query is either insert/update-only or
delete-only. Mixed → reject. Deletes still inline-commit (Lance
4.0.0 has no public two-phase delete); D₂ keeps the inline path safe.
- `LoadMode::Overwrite` keeps the inline-commit path
(truncate-then-append doesn't fit the staged shape; overwrite has no
in-flight read-your-writes requirement).
- Read sites consume `TableStore::scan_with_pending`, which Lance-scans
the committed snapshot at the captured `expected_version` and unions
with a DataFusion `MemTable` over the pending batches.
This pattern realizes [docs/invariants.md §VI.25](invariants.md)
(read-your-writes within a multi-statement mutation) and §VI.32
(failure scope bounded) for inserts/updates by construction at the
writer layer. See [docs/runs.md](runs.md) for the publisher CAS
contract this builds on.
### Storage trait — today vs. roadmap
```mermaid
flowchart LR
classDef now fill:#e8f4fd,stroke:#1e6aa8,color:#000
classDef future fill:#fff,stroke:#888,stroke-dasharray:5 5,color:#444
subgraph today[Today]
d1[table_store
opens lance::Dataset directly]:::now
d2[storage.rs
S3 / file URI plumbing]:::now
end
subgraph roadmap[Roadmap — invariants §I.4]
t[trait Dataset
schema · stats · placement
capabilities · scan · write]:::future
impl1[LanceStorage]:::future
impl2[MemStorage for tests]:::future
end
today -.-> roadmap
t --> impl1
t --> impl2
```
The storage layer's trait surface is aspirational. Today the engine calls `lance::Dataset` methods directly. The roadmap (per [`docs/invariants.md`](invariants.md) §I.4 and MR-737) is a `Dataset` trait that surfaces capabilities and statistics so the planner can reason about pushdown opportunities.
### Index lifecycle — today vs. roadmap
```mermaid
flowchart LR
classDef now fill:#e8f4fd,stroke:#1e6aa8,color:#000
classDef future fill:#fff,stroke:#888,stroke-dasharray:5 5,color:#444
subgraph today[Today]
ei[ensure_indices
omnigraph.rs:445]:::now
manual[called manually
or from optimize]:::now
end
subgraph roadmap[Roadmap — invariants §VII.38]
rec[Reconciler
observes manifest]:::future
diff[coverage diff
fragments − fragment_bitmap]:::future
wp[worker pool
builds index segments]:::future
end
manual --> ei
today -.-> roadmap
rec --> diff --> wp
```
Today, indexes are built explicitly via `ensure_indices`. Reads degrade gracefully when index coverage is partial — Lance's scanner unions indexed and scan paths automatically. The roadmap reconciler (per [`docs/invariants.md`](invariants.md) §VII.38) observes manifest state and converges coverage in the background.
### Server / CLI
```mermaid
flowchart LR
classDef l2 fill:#e8f4fd,stroke:#1e6aa8,color:#000
cli[omnigraph CLI
command families]:::l2
srv_in[Axum HTTP
REST + OpenAPI]:::l2
auth[Bearer auth
SHA-256 hashed tokens]:::l2
pol[Cedar policy gate
per request]:::l2
eng[engine API]:::l2
cli -.-> eng
srv_in --> auth --> pol --> eng
```
The server applies Cedar policy at the HTTP boundary today (per [`docs/invariants.md`](invariants.md) §VII.45, the roadmap is to push policy into the planner as predicates). The CLI bypasses the HTTP layer and calls the engine API directly.
Code paths:
- Server entry: `crates/omnigraph-server/src/lib.rs`
- Auth: `crates/omnigraph-server/src/auth.rs`
- Policy: `crates/omnigraph-server/src/policy.rs`
- CLI: `crates/omnigraph-cli/src/main.rs`
## L1 / L2 framing
Throughout the docs, capabilities are split into:
- **L1 — Inherited from Lance**: what OmniGraph gets "for free" by sitting on top of the Lance dataset format (columnar Arrow storage, per-dataset versions and branches, index types, `merge_insert`, `compact_files` / `cleanup_old_versions`).
- **L2 — Added by OmniGraph**: typing (schema language), graph semantics, multi-dataset coordination via `__manifest`, graph-level branches and commits, the `.gq` query language and IR, the topology index, the HTTP server, Cedar policy, the CLI.
## Concurrency model
- **MVCC**: every Lance write bumps a per-dataset version; the OmniGraph manifest version coordinates which sub-table versions are visible together.
- **Snapshot isolation**: a query holds one `Snapshot` for its lifetime; concurrent writes don't leak in.
- **Cross-branch isolation**: copy-on-write means readers and writers on different branches don't block each other.
- **Per-query staging**: `mutate_as` and `load` (Append/Merge) accumulate insert/update batches in an in-memory `MutationStaging`; one `stage_*` + `commit_staged` per touched table runs at end-of-query, then the publisher commits the manifest atomically. A mid-query failure leaves Lance HEAD untouched on staged tables. (MR-794; pre-v0.4.0 used a `__run__` staging branch + Run state machine, removed in MR-771.)
- **Schema-apply lock**: `__schema_apply_lock__` system branch serializes schema migrations.
- **Fail-points** (`failpoints` cargo feature): `failpoints::maybe_fail("operation.step")?` in `branch_create`, publish, etc., for deterministic failure injection in tests.
## Workspace crates
- `omnigraph-compiler` — schema and query grammars, catalog, IR, lowering, type checker, lint, migration planner, OpenAI-style embedding client.
- `omnigraph` (engine, published as `omnigraph-engine` on crates.io since v0.2.2) — the Lance-backed runtime: manifest, commit graph, snapshot, exec (incl. per-query `MutationStaging` accumulator), merge, loader, Gemini embedding client.
- `omnigraph-cli` — the `omnigraph` binary.
- `omnigraph-server` — the `omnigraph-server` binary (Axum HTTP server).