Viewing profile — vasa_
vasa_
HN member- Joined
- Mon, Jun 26, 2023, 3:01 PM UTC
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About vasa_
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Recent public activity
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Show HN: A self-growing wiki of Andrej Karpathy's public work
I created one simple place to consolidate all of Karpathy's stuff, like his essays, courses and GitHub projects. You can browse it like a normal wiki, or ask it a question. Every a…
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Show HN: I got Claude Code to run in Binary
Successfully restructured the entire leaked source code of Anthropic's Claude Code using OAI's Codex, rewritten in Binary without copyright issues . You won't get it more performan…
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Comment #45075936
We've done this for a while with cognee, where we have graph completition retrieval that does that + many other things like weighting, self improving feedback and more https://gith…
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Comment #44839900
The usual benchmarks for language models—Exact Match, F1, and even multi-hop QA datasets—weren’t designed to measure what matters most about persistent AI memory: connecting concep…
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Comment #44492301
cognee - memory tool for AI apps and Agents | Remote and Berlin | Full time | 100k EUR At cognee we are working on building graph/vector based memory on top of vector and graph sto…
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Comment #44172358
Hi, founder of cognee here We have temporal resolution mechanisms we are building, and framework is generalizable enough to build any custom logic. We have a few ideas and some thi…
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Show HN: Cognee – Open-Source AI Memory Layer That Remembers Context
Hey HN! We're Vasilije, Laszlo and Lazar, the authors of a new paper and part of https://www.cognee.ai . cognee let’s you build memory layers for AI applications and agents, allowi…
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Show HN: Cognee – Turn RAG and GraphRAG into custom dynamic semantic memory
Hey there HN! We’re Vasilije, Boris, and Laszlo, and we’re excited to introduce cognee, an open-source Python library that approaches building evolving semantic memory using knowle…
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Comment #42175895
Neat, we are doing something similar with cognee, but are letting users define graph ingestion, generation, and retrieval themselves instead of making assumptions: https://github.c…
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Show HN: Auto-optimizing deterministic LLM outputs using knowledge graphs
Hi, We are building an open-source framework for loading and structuring LLM context to create accurate and explainable LLM answers using knowledge graphs and vector stores. We bui…
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Comment #38101882
I worked with dlt guys on exactly that. Using OpenAI functions to generate a schema for the data based on the raw data structure. You can check that work here: https://github.com/t…
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Show HN: PromethAI – Personalized AI assistant app
Hi! We created UI/UX flow on top of OpenAI API + Langchain and gave connected agents access to tools. The outcome is a mobile app that can decompose your thoughts, remember them, h…