High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
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Updated
Jul 6, 2026 - Python
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Map drawing and topic visualization for your wiki
Datasets for Knowledge Graph Completion with textual information about the entities
Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory
Implements various negative sampling techniques for learning knowledge graph embeddings
Knowledge Graphs Embedding server. Docs available at:
ICSThreatQA: A human-in-the-loop benchmark for evaluating knowledge-grounded QA, RAG, and AI assurance in Industrial Control System cybersecurity.
Translation Based Knowledge Graph Representaion Learning Framework
A high-performance, production-grade pre-LLM document intelligence operating system that transforms unstructured documents into synchronized mathematical representations to build budget-aware, optimized context for AI agents.
This repo aims to remove/minimize hallucination introduced through large language models in development of KG
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