Knowledge Graphs & Graph Technologies | peterindia.net

20 Graph Resources

Knowledge graphs model entities and the relationships between them. This hub gathers every graph-related directory on the site — from knowledge engineering and graph databases to semantic graphs, ontologies, query languages, graph neural networks and GraphRAG.

Foundations

Knowledge graphs, knowledge engineering and semantic layers

01 🕸️ Knowledge Graphs (KGs)

Leading knowledge graph platforms, graph databases and semantic AI vendors — from enterprise KG software and RDF triplestores to KG-powered agentic AI.

02 🧠 Knowledge Engineering

Data fabric software, knowledge graphs, graph data platforms, semantic graphs, RDF databases and property graphs under one knowledge-engineering directory.

03 🚀 Knowledge Engineering Start-ups

SQL knowledge graph platforms and semantic database pioneers such as Timbr and TypeDB (formerly Grakn).

04 📐 Semantic Layers & Metric Stores

Semantic layer and metric store platforms — AtScale, Cube, Snowflake, Looker, Fabric, dbt, Databricks, SAP, Oracle, Kyvos and Airbyte.

Graph Databases & Platforms

Where graph data is stored, queried and analysed

05 🗄️ Graph Database Management Systems

Nineteen graph databases including Neo4j, ArangoDB, Amazon Neptune, TigerGraph, JanusGraph, NebulaGraph and Oracle Graph.

06 🏷️ Property Graph Databases

Six property graph platforms — ArangoDB, NebulaGraph, Neo4j, Rocketgraph, TigerGraph and Memgraph.

07 🧭 Graph Data Platforms

Property graph databases, graph analytics engines, managed cloud graph services and query frameworks for connected data.

08 🔍 Graph Intelligence Platforms

Twelve tools for graph databases, knowledge graphs, GraphRAG, decision intelligence and threat-intelligence graphs.

Semantic Graphs & RDF

Triple stores and the semantic web stack

09 🏛️ Ontologies

Thirty-one ontology resources: OWL, RDFS, SKOS and SHACL standards, editors like Protégé, reasoners, libraries, registries, reference ontologies and platforms.

10 📚 Semantic Graphs & RDF Databases

Fourteen semantic graph and RDF platforms — AllegroGraph, Apache Jena, GraphDB, MarkLogic, Stardog, Virtuoso, Amazon Neptune and more.

11 🔗 RDF Databases & Triple Stores

Triple stores and semantic databases for semantic web and knowledge graph applications, with verified links and use cases.

Graph Query Languages

Asking questions of connected data

12 💬 Graph Query Languages (GQLs)

Nine query languages — Gremlin, GQL, openCypher, Neo4j Cypher, GSQL, PGQL, AQL, SPARQL and SociaLite — for property graphs and RDF data.

Graph Machine Learning

Learning from nodes, edges and structure

13 🤖 Graph Neural Networks

How GNNs learn from connected data through message passing, the GCN, GAT, GraphSAGE and GIN architectures, applications and 2026 trends.

14 🎓 Understanding Graph Neural Networks

A practitioner's blog on message passing, the core GNN architectures, real applications and where the field is heading.

15 🛠️ GNN Frameworks

Frameworks and graph analysis libraries — PyTorch Geometric, DGL, Spektral, Jraph, NetworkX and more.

16 📦 GNN Open-Source Libraries

Seven open-source libraries for deep learning on graphs: PyTorch Geometric, DGL, Spektral, Jraph, Graph Nets, GeometricFlux and ptgnn.

GraphRAG & Related Resources

Retrieval, hubs and reports

17 🔎 Trends in the RAG Space

How retrieval-augmented generation evolved from naive pipelines to agentic, multimodal, real-time retrieval architectures.

18 🗃️ Database Systems

The full directory of database categories, including graph, vector and multi-model databases.

19 📄 The Semantic Advantage: GraphRAG & Trustworthy AI

Report on scaling enterprise-ready GraphRAG and trustworthy AI with Graphwise.

20 📄 Semantic Layers & the Economics of AI on the Warehouse

Report on semantic layers and the economics of running AI on the data warehouse.