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TL:DW The model could not make sense of UK law.

nice video! thank you for sharing it. Interesting would be possible to achieve similar language learning task using RAG instead of fine-tuning?

Really Nice !

Thank you all for watching! My internet connection spectacularly crashed 😂 I'll probably continue next weekend 💪

can we run memgraph algos on neo4j ?

Nice demo

dude the people who are searching "how to contribute to a c++ project" are just beginners.

Let's gooooo!

As a student im in grade 12 and these kind of session and content make more engaging

Hey is it possible for heterodata? Like pytorch DBLP dataset ?

do you offer profesional courses/certifications ?

this is great database technology i have a question. neo4j offers professional certifications to validate knowledge about their technology. does memgraph have any courses or certifications, or are there plans to offer them in the future?

Thanks guys, It was really amazing

My tf.compat made me come here.

Great session, sparked a lot of ideas around search. I believe weaviate is the best opensource vector db and memgraph is the best opensource graph db right now. What I'd love to see is weaviate and memgraph come together to solve the RAG problem with opensource and blow llamaindex out of the water. All the best to the both of you

If we have big data i mean to say very big data like millions of nodes and relationships , I think creating every relationship may not work. Is there a way for doing that?

Hey guys! Thank you for doing this vids, very helpful!

Fine tune? Or just have it return a cypher query that can be rendered to a debug window 4 human operator to modify. Hell you could open a prompt on the damn cypher itself. Would require a far more incremental chain.

really helped me 😁😁😃😃

Thank You. i have a question, if i use cloud Memgraph database how can i distributed this, when my data is growing to bigdata, please give me to answer or source or create video tutorial or my question. Thank you

give me a code please! Thank.

That's awesome. Is there a code repo for this?

Awesome podcast, go Weaviate!

Thank you so much for having me, this was a lot of fun!

Thank you

"Promo sm"

Hi, some comments from my side. 1) Using MERGE more safely than CREATE, especially for avoiding duplication by second execution by mistakes. 2) Property _id is numeric, but you store it in nodeID as string, because it's happens by default. For a small dataset it's no so big problem, but for millions nodes it cost a lot ;) better to use for numeric ToInteger(row._id). Thanks!

My favorite thing about Memgraph is how the open source has all the HA features. I was looking at other solutions [Dgraph] but they would all have painful transitions between the free/open source. with this I can just code once and not panic when I have to start scaling stuff.

This is exactly what I was looking for. Is there any Golang implementation for gqlalchemy?

Lel everyone worried about vector db meanwhile this exists

I accidentally quit after installing. Any idea what to do next?

Damn, I had clicked the wrong link and have missed missed all the fun.

The stream was unexpectedly stopped because of the internet connectivity issues, but I've actually fixed an issue :D Thanks for watching and see you next time!

looooool and the investor beams in as the terminator … eh? 💥“hasta la vista… engineering excellence”

Great presentation!

The Painted Ladies

26:15 lol

Lako moguce najbolja putopisna emisija na TH-camu. Bravo ekipa :)

Bravo dečki! Sretna šesta godišnjica rada

Full house house!!! 😊

✋ ░p░r░o░m░o░s░m░

Does memgraph do persistence or does it just ingest the data into memory? If it is the latter how would you handle a graph that cant fit into memory, say 5TB graph?

It’s mighty incredible how go’ogling one simple thing can make all the difference. Seriously, you can have your ex anxiously wanting to get back together within two weeks by reading something like Treitan Mellory’s Simple Paper.

🌟 Great content. You should check PromoSM.! ! It’s a great way to quickly grow your channel!

Thank you for watching :D If anything is unclear or you have any suggestions for future videos, feel free to post a question here!

The Rust code from both parts (1 & 2) is here github.com/gitbuda/education/blob/master/programming_languages/rust/a-half-hour-to-learn-rust.rs

Believe it or not, my switch decided to die, so I had to finish the stream earlier than expected. Apologies for that. The resources (links) are here github.com/memgraph/live-stream/tree/main/code-with-buda/2021-02-27 The actual useful code will eventually show up here github.com/memgraph/mage Enjoy the rest of the weekend and see you next Saturday on the part 2!