Personal pet project has been to attempt to constrain LLM slop with Clingo / TypeDB, i.e., some sort of reasoning system that can apply the necessary and proper trout slapping.

In case you missed it 👀 Run TypeDB locally with LocalStack → no slow cloud loops, no extra spend. Perfect for complex relationships recursive queries. Watch the meetup recording 👇🏾 youtube.com/watch?v=CHgznukE…

You don’t need Obsidian to achieve this. In fact, the linking tasks for any moderate collection of documents cannot be maintained by a human, it won’t scale and relying on Obsidian to perform ontological tasks will erode graph precision over time. I love obsidian, but I entrust the ontology and relationship management to an AI that is deeply aware of the ontology itself. When I add (or generate) a new document in Antigravity, internal skills and workflows spring into action. Frontmatter is added with ontological connections across the knowledge graph determined with precise relationships. As ideal and seamless as this may be, it also has scale limits and soon, I will likely be forced to move into TypeDB to avoid the token hit as the knowledge graph expands daily. So far, so good.😊

Streamlining starts in 25 minutes: Streamlining local graph development with LocalStack & TypeDB I plan to listen, I'm experimenting with extracting ontologies from client interviews and screenshots of legacy systems.

Graph databases: growing market, competition & options In Microsoft’s Q1 2026 earnings call, it was reported that Cosmos DB business grew over 50% YoY. @cosmosdb is a multi-model database that offers a graph API, and we don’t know the extent to which graph contributed to its growth. However, this signal is one of many pointing towards growth for graph databases. According to Fortune Business Insights, the global graph database market size is projected to grow from $2.85 billion in 2025 to $15.32 billion by 2032, exhibiting a CAGR of 27.1%. Microsoft, AWS, Google, and Oracle were named as leaders in the 2025 Gartner® Magic Quadrant for Cloud Database Management Systems. All superscalers have a graph database offering with Cosmos DB, Amazon Neptune, Google Spanner Graph, and Oracle Graph, respectively. @neo4j was the only pure-play graph database to be listed in the same Magic Quadrant as a niche player. Neo4j also announced Fleet Manager, a single control plane for all Neo4j deployments, as well as the release of Neo4j Graph Analytics for Snowflake in the Snowflake Marketplace. But there has also been churn in the graph database market. Dgraph was acquired by Istari Digital to strengthen data foundation for AI and engineering. And the KuzuDB embedded open source graph database has been abandoned by its creator and sponsor Kùzu Inc. LadybugDB and RyuGraph are new forks of the KuzuDB codebase aiming to pick up where KuzuDB left off. Furthermore, GraphLite emerged as a new open source graph database for embedded processes, and @falkordb introduced FalkorDBLite – both aiming to fill in the embedded graph database void left by KuzuDB’s departure. Challengers such as @QLever, TuringDB, TypeDB, and @duckdb with its DuckPGQ extension are emerging. It seems like the graph database market pie is growing, and the competition for a piece of it is intensifying. -- 📩 Excerpt from The Year of the Graph Winter 2025-2026 newsletter Read "The Ontology issue: From knowledge to graphs and back again" with more sections, references and attribution here 👇 yearofthegraph.xyz/newslette… All things #KnowledgeGraph, #GraphDB, Graph @#Analytics / #DataScience / #AI and #SemTech. More Graph Database news coming soon!

Excited to announce our next meetup with @TypeDB! 🎉 🔹 Joshua will explain why Property Graphs aren't enough for complex domains & how TypeDB fixes that. 🔹 Harsh will demo the TypeDB extension for LocalStack to build & test graph apps locally. RSVP 👉 meetup.com/localstack-commun…

Building knowledge graph apps locally? Yep. Learn how to use LocalStack TypeDB to model complex relationships and iterate fast without cloud overhead. 🔗 blog.localstack.cloud/build-…

Joshua Send from TypeDB presenting on Validating and Optimizing Database Queries with Types youtube.com/watch?v=yKwhPZsj… (2/4)

Up first is Haikal and Joshua from TypeDB talking about validating and optimizing database queries with types.

For memory and knowledge graph management, we used a custom stack: Neo4j, Qdrant, and TypeDB. @AgnoAgi was essential for building over 50 specialized agents: -Info analysis -Intent detection -Unique entity extraction -Fraud pattern detection -Metadata correlation (thanks, Tika)

the way u can still access parts of Adams tumblr blog and look at some of his posts.. I'm gonna throw up... I need him... I'm gonna throwupineedhim.. looking at the text like yeahg he typedb that sighhhhhhhhssss "-deactivated2012" NOOOOO 😭😭😭😭

"TypeDB: the power of programming, in your database"

Have you looked at TypeDB? They've pretty much reimplemented datalog but w strong types. Pretty wild

We're proud to announce that our TypeQL paper was accepted at @TheOfficialACM SIGMOD/PODS'24! TypeDB Cloud is now available on @googlecloud, @awscloud, & @Azure, all with #free deployments. Finally, #typedb & #typeql gets a new #OSS license: @mozilla Public License! typedb.com/blog/new-foundati…

HRLEOEMDJDDJDMDN I FEELJ LIKE IK EXACLTKY WHO TYPEDB THIS GAHSHSJDJDBDJ?.!.!.?

TypeDB is a polymorphic database with a conceptual data model, strong subtyping system, symbolic reasoning engine and elegant type-theoretic language TypeQL typedb.com #database #agpl #type #theory #language @typedb_

Hi Jakob, interesting and important subject that you are working on! You could have a look at TypeDB: typedb.com

remember when damiano posted his pfp for the loneliest and typedb“the lonliest”

Three simple queries illuminate exactly how #Postgres, #MongoDB, and #Neo4j are unable to implement a safe, intuitive type system, causing headaches for developers. Only #TypeDB can bring the principles of subtyping and polymorphism to the database. blog.vaticle.com/the-need-fo…

🎉 Congrats to @VaticleHQ on the launch of the newest version of TypeDB! 🎉 We're thrilled to have our storage engine integrated, providing high performance and scalability. Proud to have played a part in this project and excited for what's to come! #TypeDB #Speedb #LaunchDay