LK

LK-99: A fad or a revolution? Chat with ArXiv to find out

Hacker News

LK-99: A fad or a revolution? Chat with ArXiv to find out

Hey everyone, we're excited to introduce ChatData, a groundbreaking app that lets you interact with millions of arXiv academic and research papers using the power of LangChain and MyScale. With ChatData, you can now ask almost anything with documents, transcending traditional keyword searches and basic metadata filters. The app empowers researchers, students, and knowledge enthusiasts to access vast amounts of data with ease. No more tedious keyword searches or limited filtering options. With ChatData's advanced metadata filters and vector search capabilities, you can unlock the true potential of information retrieval. Whether you're conducting academic research or simply curious about a particular subject, ChatData is the tool you need. Its efficient and accurate interactions offer unparalleled convenience, putting a world of knowledge at your fingertips. Try to ask ChatData anything about LK-99 on Hugging Face now ( https://huggingface.co/spaces/myscale/ChatData ) or build your own customized app using our comprehensive guide available on GitHub ( https://github.com/myscale/ChatData ). If you have any questions or need assistance with vector databases, LLM apps, or anything else related, feel free to join our Discord community ( https://discord.gg/jGCq2yZH ). We're more than happy to help you create amazing applications using our open database and the self-query retriever with MyScale. Unleash the full potential of academic research exploration with ChatData and experience a whole new level of efficiency and accuracy. Happy coding!

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best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new, using · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: efficient · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, para · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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