mbuda

4 ms·

1.
by mbuda 3mo ago
Memgraph's CTO here, thanks for the feedback under Memgraph's implementation of multi-tenancy each database is isolated, meaning that vector search indices are also isolated per database (each db has it's own set of vector in
2.
by mbuda 6mo ago
I’m Marko, CTO at Memgraph. This post was written by my colleague Matt, and I can help answer questions about the migration and the reasoning behind it. The post covers why we moved parts of our infrastructure to Hetzner, including cost, op
3.
Why Memgraph Infrastructure Was Moved to Hetzner(memgraph.com)
4 points by mbuda 6mo ago|1 comments
4.
by mbuda 7mo ago
Interesting! What are the next released features? In particular, I'm curious how can this help me to build my own skills :thinking:
5.
Atomic GraphRAG Explained: The Case for a Single-Query Pipeline(memgraph.com)
2 points by mbuda 7mo ago|1 comments
6.
by mbuda 7mo ago
Hi all! I'm Marko, CTO at Memgraph, and the author of this post. The post argues that the GraphRAG pipeline can be expressed as a single database query rather than a chain of application-layer steps. The idea is to keep components such
7.
Single Store Vector Search Index: Architecture and Memory Efficiency(memgraph.com)
3 points by mbuda 7mo ago|1 comments
8.
by mbuda 7mo ago
Hi all - I’m Marko, CTO at Memgraph. The author of this post, David, also works at Memgraph. This post explains how our vector index is implemented within the same storage engine as the graph (eliminating the need for a separate vector stor
9.
by mbuda 7mo ago
Love it!
10.
by mbuda 7mo ago
Yep, amazing points! Agree with the measures; follow-up question: what's the insight definition? I think exposing some of those measures would help people better understand what the analysis covered, in other words, how much data was a
11.
by mbuda 7mo ago
Here are clickable links: https://youtu.be/ygr8yvIouZk?t=1307 , https://adamdrake.com/from-enterprise-decentralization-to-to...
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Ask HN: How to measure how much data one can effectively process or understand?
18 points by mbuda 7mo ago|7 comments
13.
by mbuda 1y ago
This is like saying: "Here we have a rocket, but let's keep trying to go to the moon by bike." xD What's wrong with attempting to better understand a given organization using LLMs or any other tech? Ofc, great managers w
14.
by mbuda 1y ago
DISCLAIMER: The co-founder and CTO of Memgraph here. To add more context, Memgraph Enterprise pricing is explained under https://memgraph.com/pricing : "Starting at $25,000 per year for 16 GB, Memgraph has an all-inclus
15.
by mbuda 2y ago
The author here. This is just the shortest (in terms of size) reasoning about the topic. Any feedback and discussion is welcome!
16.
by mbuda 3y ago
It's not possible to escape tradeoffs. To deal with tradeoffs, focus is important. API to tradeoffs is also important. I bet somebody will raise a similar question in a few years time when the list under https://db-engines.c
17.
by mbuda 3y ago
I guess when you compare pure performance of hardware, 10x is very optimistic from the perspective of disk. Probably the author based this number on some some specific application/database context / bias in the measurements. But y
18.
by mbuda 4y ago
Hard to say without a particular query, and again it depends on the model, but from the explanation, that could be modeled as a 2-hop relationship. If you put in-place indexes and maybe some filtering, it should be fast. Please join our Dis
19.
by mbuda 4y ago
It depends on a few things. If you want to migrate all the data that's heavier than just, e.g., the graph part and connections. It heavily depends on the final model, required data types and overall distribution of data. This guide -&g
20.
by mbuda 4y ago
Yes, memgrpah persists data on-disk, but there is not the support for larger than memory datasets yet (but a lot can fit on a single machine). In general, our primary focus at the moment is the scale out / proper graph sharding support
21.
by mbuda 4y ago
I'm glad that you liked it. If you want to see all of these things in action check out Memgraph. You, can find our repo at https://github.com/memgraph/memgraph DISCLAIMER: I'm the co-founder and CTO. Also, an
22.
by mbuda 4y ago
I'm CTO at Memgraph it's very nice to see us on the list :D Thanks Fireship! You can checkout all of the info about MG at https://memgraph.com + happy to figure out more about your graph streaming use-cases!
23.
by mbuda 4y ago
Don't know about SQLite, https://github.com/apache/age seems very interesting, but it's just a tiny layer on top of Postgres :)
24.
by mbuda 4y ago
I guess the question which part of cyber attach data you can visualize and how?
25.
by mbuda 4y ago
Just got back from CIDR conference and I wanted to share few of my thoughts and takes. Recordings and slides also got published in the meantime -> https://www.cidrdb.org/cidr2023/program.html
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CIDR 2023 Database Conference from Memgraph's Perspective(memgraph.com)
3 points by mbuda 4y ago|1 comments
27.
by mbuda 4y ago
DISCLAIMER: I'm a cofounder and the CTO at Memgraph. The workload and software used to benchmark are public on Github, which means they can be validated and tested. Memgraph as a company is committed to improving Memgraph and benchmark
28.
by mbuda 4y ago
It takes time, but szarnyasg and I will convince you otherwise :)
29.
by mbuda 4y ago
"egregious example" is unfair because there was and will be a huge effort in comparing different options. Ofc it's biased. Every single benchmark is biased towards something, but take a look at the specifications and what has
30.
by mbuda 4y ago
LDBC is really great, it is and it should be the standard non-biased benchmark to look at. The point with https://memgraph.com/benchgraph is to be more tilted towards some specific workloads, easy to extend and run, etc. Ti

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