ArangoDB

https://arango.ai/

HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration. The company now brands itself Arango (Arango Contextual Data Platform unifying graph, vector, document and search), with ArangoDB as its database.

Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 47 cited facts, 6 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Tier
T1
Created
2014 third-party fix
Latest release
not applicable — not OSS fix
Pricing
Pay-per-use vendor fix
Funding
Series B · 2021-10 vendor fix
Freshness
2026-10-29 fix
Layer
model-infra repo fix
Licensing
commercial repo fix
Deployment locus
hybrid repo fix
Platform vs product
platform repo fix
SDK languages
go, java, python, typescript vendor fix

When to use

Optimised for: relationship modeling + reasoning + governance over pure vector

Anti-fit: not for purely-vector or simple-RAG use cases (graph adds setup cost)

Pros & cons

Pros

Multi-model (graph + document + KV) in one engine — useful when memory crosses paradigms without managing multiple databases.

Cons

Multi-model adds complexity vs single-purpose engines; smaller community than Neo4j or MongoDB.

Claims & capabilities

Rated #1 graph DB Fall 2025. Open-source + ArangoGraph cloud.

Technical surface

API surface
REST (HTTP), SDK: many
Backend storage
custom (RocksDB-backed multi-model)
Deployment
Both
Embedding model
BYO
Multi-tenancy
hard-isolation
MCP
yes — community ravenwits/mcp-server-arangodb
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
first-class

Compare ArangoDB with…

Similar systems

Other knowledge-graph platforms in the catalog, ranked by inbound references.

  • Neo4j T1

    Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.

  • Amazon Neptune Analytics T1

    Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.

  • FalkorDB T2

    Native GraphRAG SDK. Graph-memory backend for Mem0; MCP server via Graphiti integration; context graphs for long-term agent memory.

  • Kuzu T2

    Embedded property-graph database (Cypher) with a built-in vector index and full-text search, widely used as an embedded store for agent memory and GraphRAG. The kuzudb/kuzu repository was archived on 2025-10-10 after Apple acquired the company; 0.11.3 is the final release and earlier releases remain usable.

  • Memgraph T2

    In-memory GraphRAG engine. Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

  • Diffbot T1

    Auto-built knowledge graph from web crawl. 1T+ facts, 10B+ entities. GraphRAG-fine-tuned model based on open-source Llama 3.3.

Sources (46 cited facts, 6 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-29
    • Homepage “https://arangodb.com” → “https://arango.ai/”
    #305
  2. 2026-10-26
    • License “not applicable — not OSS” → “BSL-1.1 (source-available; each release converts to Apache-2.0 four years after release)” source
    • MCP support first recorded as “yes — community ravenwits/mcp-server-arangodb” source
    #258

Related systems

References (1)

Referenced by (2)

  • Haystack (framework) integrates with — Haystack integrations directory has an ArangoDB integration page ("Use the ArangoDB database as a Document Store with Haystack"). (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official data reader integration package llama-index-readers-arango-db in its repo. (verified 2026-10-29)