Thank you for watching. Unfortunately, I didn’t find any similar projects in pure English. If I do come across one, I will definitely share it with you all
Guys if you like the project please consider to hit ⭐ Paper: arxiv.org/pdf/2409.13731 Github: github.com/OpenSPG/KAG ❣join to my Patreon: www.patreon.com/GaoDalie_AI 🙏Thank you so much for watching guys! I would highly appreciate it if you Book an Appointment with me: topmate.io/gaodalie_ai Support the Content (every Dollar goes back into the video): buymeacoffee.com/gaodalie98d Subscribe Newsletter for free: substack.com/@gaodalie FOLLOW ME : join my discord if you have any questions: discord.gg/GENrSVJN Follow me on Twitter: x.com/GaoDalie_AI Follow me on Linkedin: shorturl.at/dnvEX
Thx for the video, great idea, pls consider a tutaorial plus test including testing queries on a large document like financial reports from market companies or whole books on a niche topic so that an LLM has (almost) no data on…
Thanks for watching! I’ll do my best in the next video and try it out on large documents. KAG is really cool, and their architecture and algorithm design are impressive. I’ve played around with their code, and it looks super promising!
Terrible video on many aspects: - the demo doesn't show where this KAG solution replaces RAG - the input file and query are too simple and do not need a KAG to solve
Hey, thank you for watching! If you rewatch the video carefully, you’ll notice that at the beginning, I addressed the RAG problem and explained how KAG solves it. I also compared it with GraphRAG, so I have covered everything about KAG. If you’re still not familiar with RAG, I recommend watching my videos, as I’ve covered many topics related to it.
Very cool stuff! Is there also a pure English version of the software without Chinese?
Thank you for watching. Unfortunately, I didn’t find any similar projects in pure English. If I do come across one, I will definitely share it with you all
Guys if you like the project please consider to hit ⭐
Paper: arxiv.org/pdf/2409.13731
Github: github.com/OpenSPG/KAG
❣join to my Patreon: www.patreon.com/GaoDalie_AI
🙏Thank you so much for watching guys! I would highly appreciate it if you
Book an Appointment with me: topmate.io/gaodalie_ai
Support the Content (every Dollar goes back into the video): buymeacoffee.com/gaodalie98d
Subscribe Newsletter for free: substack.com/@gaodalie
FOLLOW ME :
join my discord if you have any questions: discord.gg/GENrSVJN
Follow me on Twitter: x.com/GaoDalie_AI
Follow me on Linkedin: shorturl.at/dnvEX
Isnt it like google deep research?
In my opinion, because OpenKAG is a series of developments, many concepts are involved before they can come up with a final product
The configurations structures pls , Iam a beginner
Please consider joining my substack where you will find all my articles: substack.com/@gaodalie
Great video.
Thank you for taking time to watch the video and i appreciate your input
Thx for the video, great idea, pls consider a tutaorial plus test including testing queries on a large document like financial reports from market companies or whole books on a niche topic so that an LLM has (almost) no data on…
Thanks for watching! I’ll do my best in the next video and try it out on large documents. KAG is really cool, and their architecture and algorithm design are impressive. I’ve played around with their code, and it looks super promising!
@ superb!
Terrible video on many aspects:
- the demo doesn't show where this KAG solution replaces RAG
- the input file and query are too simple and do not need a KAG to solve
Hey, thank you for watching! If you rewatch the video carefully, you’ll notice that at the beginning, I addressed the RAG problem and explained how KAG solves it. I also compared it with GraphRAG, so I have covered everything about KAG. If you’re still not familiar with RAG, I recommend watching my videos, as I’ve covered many topics related to it.