NebulaGraph

https://nebula-graph.io

v5.2 adds graph-vector-text hybrid retrieval natively. MCP server for Claude/GPT agents. GraphRAG in three lines of code.

Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 45 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2018 vendor fix
License
Apache-2.0 repo fix
Freshness
2026-10-26 fix
Layer
model-infra repo fix
Licensing
open-core vendor fix
Deployment locus
hybrid repo fix
Platform vs product
platform 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

Strong at trillion-edge scale; popular in China for fraud / social-network workloads.

Cons

Heavy operational overhead; documentation in English lags Chinese resources.

Claims & capabilities

100× faster path queries. Open-source + commercial.

Technical surface

API surface
nGQL, SDK: Python, Java, Go, JS, C++
Backend storage
custom (RocksDB-backed distributed graph)
Deployment
Both (self-hosted + NebulaGraph Cloud)
Embedding model
BYO
Multi-tenancy
namespace
MCP
no first-party MCP adapter published as of 2026-05; community connectors may exist.
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
via Prometheus

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.

  • ArangoDB T1

    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.

  • 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.

Sources (44 cited facts, 4 third-party)

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What changed

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

  1. 2026-10-26
    • License “not applicable — not OSS” → “Apache-2.0” source
    • Latest release “not applicable — not OSS” → “v3.8.0 OSS line (version referenced by repo docs; release date not captured)” source
    #258

Related systems

Referenced by (1)

  • LlamaIndex (framework) integrates with — LlamaIndex has an official graph store integration package llama-index-graph-stores-nebula in its repo. (verified 2026-10-29)