Zep | Examples, Integrations, & More

TerminusDB is a distributed, collaborative database designed for building, sharing, versioning, and reasoning on structured data.

🤖 A Python library for learning and evaluating knowledge graph embeddings

SAG - SQL驱动的RAG引擎 · 查询时自动构建知识图谱 | SQL-Driven RAG Engine · Automatically Build Knowledge Graph During Querying

Insightful Tutorials and Papers about Knowledge Graphs

Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.

Knowledge Graph Toolkit

Inductive relation prediction by subgraph reasoning, ICML'20

Schema and generated objects for biolink data model and upper ontology

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

scikit-fusion: Data fusion via collective latent factor models

Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.

Agents that build knowledge graphs and explore textual worlds by asking questions

A collection of open source tools and resources related to Wikibase knowledge graphs

Your personal productivity companion

A SHACL-based Web-Form Generator for Knowledge Graph Editing

An IDE for prompts

Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"

Knowledge graph construction: Fast inserts into a Wikibase instance

📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)

A tool and ecosystem for collaborative knowledge synthesis

📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology

rudradb-opin-examples is for example implementations of the pip install rudradb-opin

Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-augmented generation (RAG) creates AI systems that can reason, cite, and explain their answers with insights learned from building a real Graph-Powered RAG Engine.

Data ingest application for Monarch Initiative knowledge graph using Koza

Source code for WWW23 "Unsupervised Entity Alignment for Temporal Knowledge Graphs".

The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)

MIRA: machine-assisted modeling of dynamical systems

Framework to build linked spatio-temporal data from vectorized evolutionary topographic map archives

Is Comples Query Answering Complex?