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Santiago on Twitter / X
Knowledge graphs for representing information are unbeatable.After this, you will never build a RAG system without knowledge graphs.It will take you five lines of code to build a knowledge graph with your data.I recorded a video to show you how you can do this.I used… pic.twitter.com/1jQ6Gejczq— Santiago (@svpino) September 26, 2025
Knowledge Graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We conclude with high-level future research directions for knowledge graphs.
Triple Pattern Fragments: a Low-cost Knowledge Graph Interface for the Web
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Orrery, a Knowledge Graph That Adapts to Its Corpus
Orrery is our open-source knowledge graph that gets deeper as you feed it: domains that hit critical mass earn their own custom extraction specs, agents get an API, and humans get a galaxy. The whole …
Chive's knowledge graph - Chive
How Chive's community-governed knowledge graph replaces hardcoded categories with a portable, extensible vocabulary.
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
In the current era of information abundance, transforming vast amounts of unstructured data into structured, machine-readable knowledge remains one of the most significant challenges in artificial intelligence. Knowledge Graphs (KGs) have emerged as the cornerstone technology for this transformation Zhao et al. (2024), providing the semantic backbone for applications ranging from search engines and question answering Wu et al. (2024); Chen et al. (2024c); Zong et al. (2024); Sun et al. (2024b) to recommendation systems Lyu et al. (2024) and complex reasoning tasks Li et al. (2024b). Yet despite their critical importance, current KG construction approaches remain hampered by an inherent paradox: they require predefined schemas created by domain experts, which fundamentally limits their scalability, adaptability, and domain coverage.
DevReal: Simple Knowledge Graphs with Outlines, neo4j, and Modal, Cameron Pfiffer
Discover the Power of Knowledge Graphs with this n8n InfraNodus Node
Open Research Knowledge Graph
The Open Research Knowledge Graph (ORKG) aims to describe research papers in a structured manner. With the ORKG, papers are easier to find and compare.
Knowledge representation and reasoning
xxix, 381 p. : 24 cm; Includes bibliographical references (p. 349-375) and index
Getting started - Docs
Discourse Graphs are a tool and ecosystem for collaborative knowledge synthesis, enabling researchers to map ideas and arguments in a modular, composable graph format.
How NASA is Using Graph Technology and LLMs to Build a People Knowledge Graph
Missed NASA’s People Graph webinar? Catch the recap and see how graph technology and AI are shaping the future of workforce intelligence.
Wikidata
the free knowledge base with 120,900,955 data entities that anyone can edit.
