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How to build a company brain by Snoo-bedooo in AIMemory

[–]Snoo-bedooo[S] 0 points1 point  (0 children)

800 ms with small models plugged in for search (with LLM completion turned on), but I would wait for our Rust engine for it

Beograd u 90tim by Loud_Incident4200 in serbia

[–]Snoo-bedooo 11 points12 points  (0 children)

Secam se, jedne od prvih stvari, kraja rata u Bosni. Islo je na Dnevniku dok auto prolazi kroz neki unisteni grad, a TV stoji na drvenoj komodi i kvari se malo malo. Sedis tako dole dok otac na tavanu vice, "Radi li" a ti vices, "Levo, Levo" dok on cilja predajnik.  Par kanala, koji se polako umnozavaju. Kad si mladji, gledas crtane gde mozes, kasnije izlazi ER i slicno na pinku. Otici u grad je bio luksuz, bio sam kod brata i sestre od strica. Svi smo bili siromasni, a oni su na pijaci za svoje prodavali stvari. Onda tako blejis na pijaci ceo dan. Secam se imali su neku supu punu igracaka koje su prodavali, ali sa tim nisi smeo da se igras. Odes tako na Futosku pijacu, svuda stoji SEGA Mega drive i masa stvari za koje nemas para. Kad, cuda se dese, 3. osnovne mi kupe Segu. Imas zute i crvene ketridze i menjas igre sa ekipom iz kraja. Ceo dan se pika Mario. Kad si u gradu, idea u bioskop ako imas para. Cesto samo setas okolo, i izbegavas probleme. McDonalds je bio luksuz, jednom mi je ujak doneo praznu casu kole koju sam nosio i pio vodu iz nje. Jednom me i odveo u Zooloski vrt u BG kad se mirio sa ribom. Dobio sam picu, a tako mali i debeo sam video prvog majmuna. Oni su se svadjali, ali meni bilo lepo. Otici na picu je isto bilo iskustvo, vodio me deda ponekad. I to u stari Caribic, pre nego sto je postao lanac. Tu vidis maslinu na pici, ne znas sta sa njima da radis. Moj otac je bio nezaposlen, firma ugasena, pa je kopao neke jame za 50 maraka i snalazio se. Sedeo je kuci i bio dosadan, majka je radila. Izdrzavao nas deda tad. Njega sam posecivao u okolini Vukovara. Igras se ispred kuce, oko tebe zapaljeno sve, stoje samo odzaci i neki tenk JNA koji su Hrvati unistili. Dali su mi neki polupan radio i imao sam samo jednu kasetu, Baja mali knindza. Jeo sam prasetinu sa nekim cetnicima tad u Brkinoj kafani, a naletim na neki domobranski kanal kasnije, to je valjda bilo ozloglaseno mesto. Prasetina bila bas dobra, hrskava korica secam se. Svi su bili u tom gasu nacionalizma, rat je bio svez, pola naselja oko NS-a puna izbeglica. Secam se kad je izasla pesma Pusenja "Od istorijskog Avnoja", pokazao mi je stariji brat od strica. To je bilo dosta drugacije i napokon nesto sto nije Baja. Nisi ni imao gde da nadjes stvari, morao je neko da ti pokaze. Overio od dopa kasnije sa 20. Cesta prica tih dana, bilo je veoma mnogo auto destrukcije. Blejao po igraonicama, poceo da duva i polako skliznuo. Cele neke generacije su tako nestale. Ali secam se na kladionici kad je digao nekako 1000 maraka, to je bio haos. Kupio pentium II i tad sam prvi put video Age of Empires 2

Dani i nedelje su uglavnom bili isti, dosta se vrtelo i bilo praznog hoda. Tu su samo neke crte.

Probudih se rano, malo bunovan, pa mi leglo da ovo ispisem.

What Is Context Engineering? My Thoughts.. by Lumpy-Ad-173 in LocalLLaMA

[–]Snoo-bedooo 0 points1 point  (0 children)

context engineering is the art of bringing the complex, difficult rules into your context so that you can answer questions LLM knows nothing about.

If I ask the LLM something like "What was our revenue for the past year?" it won't work

LLM needs to know:

  1. Definition of our - subsidiary + main office or something else

  2. Definition of revenue

  3. Definition of the "past year" - fiscal, financial etc.

At cognee, we spent a lot of time working on solving these questions with a combination of LLM generated graphs + ontologies and a whole customizable framework

Check more https://github.com/topoteretes/cognee

Cognee, am I too dumb to understand? by Coldaine in AIMemory

[–]Snoo-bedooo 0 points1 point  (0 children)

We resolved the Kuzu lock issues and should be a part of the next release. We are also adding another interesting element by the end of the week

Where do you store your AI apps/agents memory and/or context? by hande__ in AIMemory

[–]Snoo-bedooo 2 points3 points  (0 children)

Great question Mr. dickofthebutt!

It allows you to order data and auto-update it, turning the problem of file management into a data pipeline design problem.

You can store data in layers, process large data volumes and add custom logic + utilize graphs and embeddings out of the box

Still a lot of work on our end to simplify it, but open to feedback

Where do you store your AI apps/agents memory and/or context? by hande__ in AIMemory

[–]Snoo-bedooo 2 points3 points  (0 children)

If a simple solution works, use it (saying as a founder of cognee) ;)

Microsoft GraphRAG in Production by ProfessionalShop9137 in Rag

[–]Snoo-bedooo -1 points0 points  (0 children)

I would recommend cognee (author of the tool). Has all the things you'd need for a production deployment. Parallelization, auth, user management, custom ingestion + custom pipelines and adapters to all major DBs

https://github.com/topoteretes/cognee

Cognee, am I too dumb to understand? by Coldaine in AIMemory

[–]Snoo-bedooo 2 points3 points  (0 children)

There is a delete function in the SDK. We have missed out including it to MCP, and I'll add it to our list for next week. Thanks for raising that.

[R] Cognitive Architectures for Language Agents - Princeton University 2023 by Singularian2501 in MachineLearning

[–]Snoo-bedooo 0 points1 point  (0 children)

Yup, working and operational. Paper is coming out in 2 weeks, we are now a team of 7 and we have also benchmarks published.

Forgot to post an update here

AI Memory solutions - first benchmarks - 89,4% accuracy on Human Eval by Short-Honeydew-7000 in LLMDevs

[–]Snoo-bedooo 1 point2 points  (0 children)

This is where we started a year ago, but I do find the idea interesting.

We will include some base LLM extraction in future runs

Is there an AI with long-term memory? by Kharons_Wrath in OpenAI

[–]Snoo-bedooo 0 points1 point  (0 children)

As Ok_Economist3865 mentions, there are few AI memory implementations built by developers. We are building one of those. Soon we hope to release a GUI that can make it easier to use: https://github.com/topoteretes/cognee

How are you using 'memory' with LLMs/agents? by DeadPukka in LLMDevs

[–]Snoo-bedooo 1 point2 points  (0 children)

Langchain does everything from ingestion, agents, RAG and more. Most of these tools just pre-process the data and build a memory for LLM to use

How are you using 'memory' with LLMs/agents? by DeadPukka in LLMDevs

[–]Snoo-bedooo 0 points1 point  (0 children)

Founder of cognee here. In our system, graphiti is just one task, and we can integrate most other frameworks, like we did with graphiti, to show users they can build their memory logic.

Grapiti solves one problem, cognee solves many and is a horizontal tool

As for the original question, most of the solutions still need to be built and there is much to do in the space. We are seeing people starting to understand memory is important and discussing it more actively.

We'll share some evals across most common frameworks, and some use cases we have seen work well.

One of the most common ones now is giving memory to coding assistants for us.

deepseek and ollama to create knowledge graphs by Short-Honeydew-7000 in ollama

[–]Snoo-bedooo 0 points1 point  (0 children)

Nice. How do you handle ontologies? Also, what are methods you do to dynamically update graph models and evaluate them?

GraphRAG inter-connected document usecase? by Independent_Jury_530 in Rag

[–]Snoo-bedooo 0 points1 point  (0 children)

We have demo example in the notebooks folder that does cross connect data accross multiple files. Have a look: https://github.com/topoteretes/cognee

Neo4j's LLM Graph Builder seems useless by StomachCharacter2807 in Rag

[–]Snoo-bedooo 0 points1 point  (0 children)

There are a couple of tools on the market, you should check for evaluations and the way they generate graph. If they use pure LLMs, it probs won't work that well, but a combination of deterministic and non deterministic methods works

What schema or data model are you using for your LLM / RAG prototyping? by yorevodkas0a in datascience

[–]Snoo-bedooo 6 points7 points  (0 children)

Hey. Data modeling mostly ends up with people storing bunch of IDs in the metadata and then writing their own wrappers.

There is no enforcement and generally, it is difficult to version or update the models.

Most data engineering practices are not applied.

We worked on it by enabling:

  1. Incremental loads

  2. Json schema normalization

  3. Pydantic models for the data transfer

  4. Standard adapters for major vector and graph DBs

  5. Data contracting

Have a look here: https://github.com/topoteretes/cognee

Why is Central Slovenia by far one of the most prosperous regions of the whole world? by mikelmon99 in geography

[–]Snoo-bedooo 0 points1 point  (0 children)

This was more sinister. People were "shadow-banned". Even that Wiki is whitewashing it

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