Arcadic

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A lean, framework-agnostic Elixir client for ArcadeDB over the HTTP Cypher command API, with an optional Bolt transport for the query hot path.

Arcadic is the "postgrex of ArcadeDB" — it ships Cypher/SQL to ArcadeDB and manages connections, sessions, and transactions, and nothing more. It is deliberately tenant-blind and framework-agnostic: no Ash, no multitenancy, no data classification. Those belong one layer up, in ash_arcadic (the "ash_postgres of ArcadeDB").

Highlights

Quickstart

conn = Arcadic.connect("http://localhost:2480", "mydb", auth: {"root", pass})
{:ok, rows} = Arcadic.query(conn, "MATCH (n:User) RETURN n LIMIT $lim", %{"lim" => 10})
{:ok, [user]} =
Arcadic.command(conn, "CREATE (u:User {name:$n}) RETURN u", %{"n" => "Jo"})
{:ok, result} =
Arcadic.transaction(conn, fn tx ->
Arcadic.command!(tx, "MERGE (u:User {id:$id})", %{"id" => "u1"})
end)

Every dynamic value reaches ArcadeDB only as a bound parameter ($name). query/4 hits the idempotent read endpoint; command/4 hits the write endpoint. Both return {:ok, rows} or {:error, %Arcadic.Error{} | %Arcadic.TransportError{}}; query!/4 and command!/4 return the rows or raise. command_async/4 submits a fire-and-forget write, returning :ok once ArcadeDB accepts it for processing (HTTP 202). The default language is "cypher"; pass language: "sql" (or gremlin/graphql/mongo/sqlscript) to switch.

Arcadic.transaction/3 opens an ArcadeDB session, runs the fun with a session-scoped conn, and commits on normal return. An exception rolls back and reraises; Arcadic.rollback/2 aborts intentionally and yields {:error, reason}.

Production pool

The HTTP transport runs on Req/Finch. In production, give Arcadic a dedicated Finch pool in your supervision tree rather than the default shared one:

# lib/my_app/application.ex
children = [
{Finch, name: MyApp.ArcadicFinch},
# ...
]
# then point connections at it
conn =
Arcadic.connect("http://localhost:2480", "mydb",
auth: {"root", pass},
transport_options: [finch: MyApp.ArcadicFinch]
)

Server admin

Arcadic.Server covers server-level operations: create_database/2 (+ !), drop_database/2 (+ !), database_exists?/2, list_databases/1, and ready?/1. Every database identifier is allowlist-validated before it reaches the wire.

Migrations

Arcadic.Migrator runs Arcadic.Migrations in order and tracks applied versions in the _arcadic_migrations type. Declare a migration (version/0, up/1, down/1), register the ordered list with use Arcadic.MigrationRegistry + migrations [...], then run Arcadic.Migrator.migrate/2 / status/2 / rollback/3 / reset/2.

defmodule MyApp.Migrations.V1 do
@behaviour Arcadic.Migration
@impl true
def version, do: 1
@impl true
def up(conn), do: Arcadic.command!(conn, "CREATE VERTEX TYPE User", %{}, language: "sql") && :ok
@impl true
def down(conn), do: Arcadic.command!(conn, "DROP TYPE User IF EXISTS", %{}, language: "sql") && :ok
end
defmodule MyApp.Migrations do
use Arcadic.MigrationRegistry
migrations [MyApp.Migrations.V1]
end
{:ok, _count} = Arcadic.Migrator.migrate(conn, MyApp.Migrations)

Arcadic.Vector builds ArcadeDB dense-vector index DDL and nearest-neighbour / hybrid-fusion queries. Create an LSM_VECTOR index (idempotent — IF NOT EXISTS), then search. The query vector, k, and options bind as parameters; the index reference is identifier-validated before it reaches the statement.

:ok =
Arcadic.Vector.create_dense_index(conn, "Doc", "embedding", 1536, similarity: :cosine)
{:ok, rows} =
Arcadic.Vector.neighbors(conn, "Doc", "embedding", query_vector, 10, max_distance: 0.3)
# hybrid fusion over multiple dense subqueries
{:ok, fused} =
Arcadic.Vector.fuse(
conn,
[{"Doc", "embedding", dense_a, 20}, {"Doc", "embedding", dense_b, 20}],
fusion: :rrf
)

neighbors/6 rows carry a distance whose scale depends on the index similarity (COSINE 0..1 ascending, so smaller is nearer; DOT_PRODUCT is negative, so a small positive max_distance filters nothing — choose thresholds per similarity). fuse/3 rows are ranked by score (higher is better). Sparse retrieval and the Ash-native data-layer surface are non-goals.

Bolt transport (optional)

The query hot path can run over Bolt via the optional boltx dependency. Add {:boltx, "~> 0.0.6"}, start a Bolt connection with Arcadic.Transport.Bolt.start_link/1 (it pins Bolt v4 — versions: [4.4, 4.3, 4.2, 4.1] — and the non-TLS bolt scheme, which ArcadeDB uses, and takes username/password), then pass the connection reference. Server admin runs over HTTP; use an HTTP conn for it even when queries go over Bolt.

{:ok, bolt} =
Arcadic.Transport.Bolt.start_link(
hostname: "localhost", port: 7687, username: "root", password: pass
)
conn =
Arcadic.connect("http://localhost:2480", "mydb",
auth: {"root", pass},
transport: Arcadic.Transport.Bolt,
transport_options: [bolt: bolt]
)

For paging large result sets, Arcadic.query_stream/4 returns a lazy Stream.t() of rows over Bolt, chunked via PULL.

Layering

Ash core (multitenancy DSL, policies, the tenant concept)
passes tenant / builds queries
ash_arcadic (Ash.DataLayerset_tenant/3, sensitive-attr verifiers, traversal)
calls
Arcadicthis lib (HTTP Cypher transport, sessions/transactionstenant-blind)
│ POST /api/v1/command/<db> {"language":"cypher", ...}
ArcadeDB (native OpenCypher engine)

Installation

Add arcadic from Hex:

def deps do
[
{:arcadic, "~> 0.2"},
# optional, for the Bolt transport:
{:boltx, "~> 0.0.6"}
]
end

Arcadic is co-developed with its Ash data layer ash_arcadic; to hack on both together, point at a local checkout instead — {:arcadic, path: "../arcadic"}.

Development

mix deps.get
mix test
mix quality # format --check-formatted + credo --strict + dialyzer

To explore the full surface interactively against a local ArcadeDB, open the getting-started notebook (the Run in Livebook badge at the top launches it directly).

Contributor and agent working rules — including the params-only, redaction, and tenant-blind invariants — live in AGENTS.md.

Benchmarks

A load/traversal benchmark harness for ArcadeDB lives under bench/ (not shipped in the package), driven by Benchee against a throwaway database:

ARCADIC_BENCH_URL=<url> ARCADIC_BENCH_PASSWORD=<pw> mix run bench/run.exs

It profiles ingest throughput, k-hop traversal latency by depth, point lookups, and throughput-under-concurrency. Methodology, knobs, and a full 100k-node result set are in bench/README.md and bench/RESULTS.md. Headline figures — 100k Person / 1M KNOWS, single 2 GB-capped node, ArcadeDB 26.8.1, localhost, single client (a profile, not a neo4j comparison):

metricfigure
k-hop traversal p500.7 ms (1-hop) → 49 ms (4-hop, ~10k nodes reached)
point lookup p50~0.6 ms (@rid and indexed uid within ~6% once settled)
client-write ingest~4.2k edges/s (RID-addressed; ~2.3× the naive uid-subquery path)

Bulk loading

The ingest figure above is per-statement client writes. To load a large dataset, use ArcadeDB's index-deferred bulk facilities — far faster than any INSERT/CREATE EDGE loop:

Credits

The postgrex/ash_postgres split that inspired Arcadic and ash_arcadic is the work of the Elixir Ecto and Ash communities.

License

MIT — see LICENSE.