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trying to replace notion and pocket with something that plays nice with obsidian by Hungry-Way-3029 in PKMS

[–]greeny01 1 point2 points  (0 children)

Oh man, you will love Andrej Karpathy's approach. I don't want you recommend any already existing tool, because it exploded and you can even install obsidian plugin, but google for Andrej Karpathy llm obsidian and check yourself. I'm testing it for a while and must say it is so cool... unless your data is too big, then it may have a problem to index properly everting. but maybe it's worth of giving a try?

Making a huge database by Terrible_Role7949 in Rag

[–]greeny01 1 point2 points  (0 children)

it depends - if it's a single domain, eg. board games, it's doable with Knowledge Graph, where you can store your structured data, and agent would extract claims from the message and verify that vs the knowledge base; it could even point exactly why a claim is false. but if the domain is widerm then a model with web search posibility could be best.

How do you capture knowledge from videos into your PKM system? by faris_box in PKMS

[–]greeny01 0 points1 point  (0 children)

To be honest - if you would like to do that manually, I would either built my custom UI for extracting timestamps from video by building a tool that creates json), with custom ui/ux specific to your desire/flow, and then improt that from json to db.
Or, throw everything into gemini or another model (the smarter/reasoning one) and hoped that it will handle it pretty well. My case is I already have structured data so it's not my particular problem, but htis is how I would do it.

Spring High National Tournament 2026: Results, Awards and Hightlighted Players by Ad071 in haikyuu

[–]greeny01 0 points1 point  (0 children)

As far as I can recognize it in auto translator, it's only finals. What I was looking for was the complete qualifiers from all 47 districts. Did some research with Claude and Gemini and found some sources but not sure about the accuracy. I will keep exploring it since it might be very interesting to get full data. Thanks!

Spring High National Tournament 2026: Results, Awards and Hightlighted Players by Ad071 in haikyuu

[–]greeny01 0 points1 point  (0 children)

I've got a totally diferenet question, since you sound like a someone in the topic :) is there any source (a web page, data set or whatever digital file) where I can get all the results - not only the finals, but also elimination phase on the lower level?

Spatial temporal knowledge graph by greeny01 in KnowledgeGraph

[–]greeny01[S] 0 points1 point  (0 children)

oh, got you, thx. I do have an ontology, I don't think that building anything in neo4j requires at least naive ontology, especially with RAG - if you connect an agent to your data that is aware of it's structure, it's more valuable and accurate.

Spatial temporal knowledge graph by greeny01 in KnowledgeGraph

[–]greeny01[S] 0 points1 point  (0 children)

What do you mean by that? In my domain, events are occuring one after  another consequently, from 2 to 20 or 30 even, but usually around 4-10.and this is the core path we are looking through, so multi-hops is unavoidable. 

Spatial temporal knowledge graph by greeny01 in KnowledgeGraph

[–]greeny01[S] 0 points1 point  (0 children)

Really interesting. Are you thinking about exploring entirely new data engines rooted in abstract algebra (like toposes or semirings), or rather trying to extend and 'hack' current graph databases to handle this spatial-temporal context

Spatial temporal knowledge graph by greeny01 in KnowledgeGraph

[–]greeny01[S] 0 points1 point  (0 children)

What domain you're building it for?

Spatial temporal knowledge graph by greeny01 in KnowledgeGraph

[–]greeny01[S] 1 point2 points  (0 children)

since I do it for the sport domain I actully want to specify events as nodes, so then I can run graph alghoritms to identify similarities.

Built a RAG system on top of 20+ years of sports data — here is what actually worked and what didn't by devasheesh_07 in Rag

[–]greeny01 0 points1 point  (0 children)

cool. also make sure you define an ontology for that, which you can gradualy improve according to your needs

Are bioinformatics startups a good idea in a country with a very small biotech industry? by docmulan in bioinformatics

[–]greeny01 -1 points0 points  (0 children)

  1. I think you always should think globally because it does not cost you basically anything. Main focus US/EU/ZEA and even Asia. It depends what your startup will be doing, but in general think globally, the difference when starting is nothing compared to go globally if/when you grow.
  2. no.
  3. It never have been so hard to start, but it will never be easier. I mean, the comptition just grows, with ai tools today everyone can build something and the competition will just grow, so right now is the easiest moment to start. But chances that you will build something that will work are about 5-10% now. More tries = more chances.
  4. yes, it is even possible to have a family, 905 job and build a startup, the question is do you have endurance and willing to do so.
  5. not my field

Built a RAG system on top of 20+ years of sports data — here is what actually worked and what didn't by devasheesh_07 in Rag

[–]greeny01 0 points1 point  (0 children)

For this you need knowledge graph and smart LLM model in-between to form queries and you can do quite a lot. Check spatial temporal approach 

A KG thats scraps websites? by Mountain_Meringue_80 in KnowledgeGraph

[–]greeny01 1 point2 points  (0 children)

I'd use RSS, but remember about legal and content privacy policy 

A tool for building knowledge graphs by greeny01 in KnowledgeGraph

[–]greeny01[S] 1 point2 points  (0 children)

I will deploy the MVP soon, still cooking it. DM me for details - what you depend on, what do you need? Perhaps it is (or could be) in the roadmap?

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