📓 Logseq - hello · Scour

21 Models in One Pipeline: What Actually Drives Knowledge Graph Quality 🕸️Knowledge Graphs

pub.towardsai.net

·4d

A faster way to pinpoint performance bottlenecks: Using Profiles Drilldown with Grafana Cloud Knowledge Graph 📉Grafana

grafana.com·1d

Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds 📱Edge AI

arxiv.org·18h

Build a Developer Knowledge Graph from Claude Code Sessions 🌱BonsaiDb

create-context-graph.dev·53m·Hacker News

Larql: LLMs Are Databases. Query neural network weights like a graph database 🦙Ollama

github.com·1d·Lobsters, Hacker News

Multi-agent AI orchestration built for governance, in Rust 🦓Zookeeper

broodlink.ai·7h·Hacker News

Knowledge Graphs, Part II 🕸️Knowledge Graphs

jessicatalisman.substack.com

# Building a Road Accident Knowledge Graph with BigQuery Graph and French Open Data 🕸️Knowledge Graphs

cheikhbadiane99.medium.com·2d

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering 💬Prompt Engineering

arxiv.org·18h

Rootly-AI-Labs/rootly-graphify-importer: Turn Rootly incidents, alerts, and teams into a queryable knowledge graph. Visualize service dependencies, on-call coverage gaps, and cross-incident patterns. 📈Prometheus

github.com·2d·DEV, Hacker News

Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction 🕸️Knowledge Graphs

arxiv.org·18h

jscott3201/SeleneDB: The AI-native graph database. Pure Rust, single binary, runs everywhere from a Raspberry Pi to a cloud VM. 🎴TAO

github.com·4d·r/rust

A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness 🗃️Zettelkasten

arxiv.org·18h

Aether – Auto-extract entities and build a knowledge graph from any URL 🔍Tantivy

github.com·6d·Hacker News

STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System 🕸️Weaviate

arxiv.org·1d

akashikprotocol/wikimind: An open-source CLI that compiles raw documents into a structured, interlinked wiki using LLMs. Drop files in. Get a knowledge base out. Based on Andrej Karpathy Post 🗂️Obsidian

github.com·4d·Hacker News

OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation 🕸️Knowledge Graphs

arxiv.org·6d

khedekarpratik0337/featureiq: A knowledge graph and meta-learning framework for context-aware automated feature engineering 🧠Machine Learning

github.com·4d·Hacker News

VulGD: A LLM-Powered Dynamic Open-Access Vulnerability Graph Database 🌱BonsaiDb

arxiv.org·5d

Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data 🕸️Knowledge Graphs

arxiv.org·5d