Experimenting with lightweight graph inference in TypeScript—avoiding heavier tools like RDF/OWL or Prolog (cool, but out of scope). Tackling transitive closure efficiently (partial graph = faster runtime).
Biggest challenge: not turning it into a side project vortex!
Progress on Plangs:
🌐 Site: https://eoga.dev
📂 Repo: https://lnkd.in/gHgV6n8P
https://youtu.be/bxBhVDdizl8?si=P0eHKWq6LYvlcbNh
Exploring the world of embeddable databases for AI-powered apps and personal knowledge graphs! Discover the best options for portable and efficient data storage. 📊
#LevelDB #SQLite #LibSQL #Firebird #DuckDB #PGLite #CozoDB #RealDB #DataStorage #EmbeddedDatabases #AI #KnowledgeGraphs
Check out the full details on how these databases can transform your app's data management!
https://volodymyrpavlyshyn.medium.com/cozodb-database-for-ai-applications-d89fadc681fe
#cozodb is a #relational database with a #vectorsearch and #graph capability super changed by #datalog and another power it is embeddable and device friendly
https://www.cozodb.org/ - I don't know what this thing is yet, but it ticks enough curiosity boxes that I'm creating a loose thread -- #cozodb -- for me to later grab hold of and follow to insight. Eventually. It's located somewhere in my brain space that also houses other barely-to-not-understood things like graph networks (#git), databases (#sqlite), outline editors (#leoeditor, #logseq), note taking (#onenote), and general personal knowledge systems (#wiki, #zettlekasten). And hashtag salads.
