Apache AGE

https://age.apache.org

openCypher over Postgres. Pairs with pgvector for graph + vector hybrid retrieval. Azure Database for PostgreSQL ships AGE with ai_extension LLM functions for entity extraction directly in SQL.

At a glance

Type
PostgreSQL graph extension
Tier
T2
Created
2020
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Free (Apache License 2.0 open-source extension)
Funding
no public funding

Taxonomy

storage
graph
retrieval
graph-traversal
persistence
long-term
update
overwrite
unit
fact
governance
inspectable
conflict
overwrite

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

Postgres extension that adds OpenCypher graph queries — KG without leaving Postgres.

Cons

Performance plateaus at large graph sizes; ecosystem of integrations smaller than Neo4j.

Claims & capabilities

Apache 2.0 licensed; openCypher on PostgreSQL; Apache top-level project 2023

Technical surface

API surface
SQL/Cypher via Postgres protocol
Backend storage
Postgres
Deployment
Self-hosted only (PostgreSQL extension; Azure Database for PostgreSQL ships it managed)
Embedding model
BYO
Multi-tenancy
namespace (Postgres)
MCP
no first-party MCP adapter published as of 2026-05; community connectors may exist.
A2A
not supported
OpenTelemetry
via Postgres 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.

  • AllegroGraph (Franz) T1

    RDF triple/quad store with RDFS++ / OWL reasoning. v8.4 (May 2025) added an NLQ interface.

  • ArangoDB T1

    HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration.

  • Dgraph T2

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

  • Diffbot T1

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

Related systems

References (1)

  • pgvector integrates with — openCypher over Postgres. Pairs with pgvector for graph + vector hybrid retrieval.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.