Dgraph

https://docs.dgraph.io/

Vector indexing on any node. Google Gen AI Toolbox integration; LangChain agent orchestration.

Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 45 cited facts, 7 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Tier
T2
Created
2015 third-party fix
License
Apache-2.0 repo fix
Pricing
searched not found fix
Funding
acquired · 2023-11 third-party fix
Freshness
2026-10-29 fix
Layer
model-infra repo fix
Licensing
open-source repo fix
Deployment locus
local repo fix
Platform vs product
platform repo fix
Maturity
ga repo 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

Distributed-by-design graph DB with native GraphQL; strong for high-scale connected data.

Cons

Smaller mind-share than Neo4j; commercial focus has shifted over time.

Claims & capabilities

Powers product-recommendation knowledge graphs with LLM tool-call annotations.

Technical surface

API surface
GraphQL, gRPC, REST, SDK: Go, JS, Python, Java
Backend storage
custom (Badger LSM-backed)
Deployment
Both (self-hosted OSS + Hypermode Cloud until Oct 2025 acquisition by Istari)
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
first-class — OpenCensus / OTel

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, 7 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://dgraph.io” → “https://docs.dgraph.io/”
    #305
  2. 2026-10-26
    • License “not applicable — not OSS” → “Apache-2.0” source
    • Latest release “not applicable — not OSS” → “v25.x (README: Dgraph is at version v25; exact patch and date not captured)” source
    #258

Related systems

References (1)

  • LangChain (framework) integrates with — Google Gen AI Toolbox integration; LangChain agent orchestration.