Viewing profile — mapleeman

The Bitter Lesson says general methods win. So which data model is least "human-sophisticated" for AI? I think it comes down to two metrics: flexibility and structure.

I would highlight the whole repo approach -> https://github.com/cloudflare/skills Particulary -> https://github.com/cloudflare/skills/blob/main/skills/cloudf...

So this is not necessarily the tool that should help you with building your own skills, but rather the tool that will help you search so you can dynamically fetch skills that are r…

Hi all, author of the skillinsight.io[1] A bit of a personal reflection on this, from a non-technical standpoint, Agent Skills are the procedural memory you keep in your head on ho…

Yeah, size classification is always tricky since the reference point always moves. If you deal more with large datasets, the spectrum would ideally move to the right for you, as yo…

Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more leve…

A few months ago, we shared an initial version of Benchgraph[1] here on HN[2]. There was a lot of debate about benchmarking, both positive and negative[3]. Based on your feedback, …

Hi I am one of Benchgraph's authors and I would like to share with you the updates that we have just released. Please let me know if you have any comments, both positive and negati…

This is true regarding the transactions and cypherl. All data is cypherl transactions because memgraph can handle a large volume of transactions. mgbench was designed to run in-hou…

This is indeed a good industry leading benchmark.

Hi! I'm the author of the blog post, and I'd be more than glad to answer any of your questions. I've already covered a lot of things in related Show HN last week ( https://news.yco…

The difference comes from several things, JVM being the first and obvious one. It takes as much memory as whole Memgraph + small dataset in this case. Second is the overallocation …

Exactly, you are right. We were able to decrease Memory usage to 1GB in Neo4j case, but then experienced some crashes. We then just removed the limit, and let it take us much as it…

Yep, you are right. We will expand the quantity, complexity, and variety of queries in future versions.

Glad you found them. Thanks for the tip!

No, currently, Memgraph is loaded 100% in RAM. Agree with the point about latency regarding I/O. The story with Neo4j is a bit more complex one. They are loading graph in memory, a…

You are right about this 100% percent, performance is not the only factor, especially in an established DB space such as a relational DB world. There is a lot of things to consider…

Added Dgraph to the reported ideas/request for the next benchmark version: https://github.com/memgraph/memgraph/issues/689 :D. What are you doing with Dgraph, and what are the requ…

Yep, that is possible. Actually, one of the community members few days ago did this: https://gigi.nullneuron.net/gigilabs/using-the-neo4j-bolt-dr... You just need to tell driver, i…

Thanks for all the comments and inputs. I have added the suggestions that we plan to implement: https://github.com/memgraph/memgraph/issues/689 . Both on Memory usage tracking and …