Obsidian Note Taking with linked notes, graph view analysis, and local-first note app features to build a powerful Markdown ...

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Abstract: While knowledge graphs are invaluable to fields such as artificial intelligence and data analysis, their size and complexity make them difficult to understand. This study examines how we can ...

Have you ever gone to sleep with visions of gelatin bubbles dancing in your head? What about information on 70 million financial securities and 40,000 data fields? Marvin Ward knows what both are like ...

Save web articles, notes, and PDFs -- then chat with your knowledge base using a hybrid of vector search and knowledge graph traversal, all running on your own machine. Note: 100% of the code in this ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...

Abstract: Knowledge Graph Alignment (KGA) identifies elements in different knowledge graphs (KGs) that refer to the same real-world object. It is a key step towards improving the coverage of KGs, ...

1 School of Marxism, Sichuan University, Chengdu, China. 2 School of Economics, Sichuan University, Chengdu, China. Based on the China National Knowledge Infrastructure (CNKI) database, this study ...