I just learnt about phidata today and I am just starting to try it out. I like how convenient you see to have made it from start to deploy- I look forward to trying it out. Video was also very well done.
HI, since you are almost the only one on youtube who do a real functional project, could you please do a project about building semantic knowledge graph from texts and pdf documents?
holly cow... well done I assume this uses an online LLM? or does it load up a local gguf like I'd like? can you briefly explain were to make such a switch if needed?
However, you didn't show how the website content was provided as input to the model. Could you explain how you integrated the website content into the autonomous assistant's knowledge base?
Function calling can definitely improve your RAG system, because you can train it to work like you do. Happy to help, message me on discord: discord.com/invite/4MtYHHrgA8
Holy Wow! This is so well-thought out. You anticipated and then fulfilled the needs of the users. Well done. I can see why you’re excited.
LMAO almost my initial reaction :D
This is so excellent. The assistant is definitely the next evolution of RAG.
Thank you! we think so too :)
I just learnt about phidata today and I am just starting to try it out. I like how convenient you see to have made it from start to deploy- I look forward to trying it out. Video was also very well done.
Thank you :)
HI, since you are almost the only one on youtube who do a real functional project, could you please do a project about building semantic knowledge graph from texts and pdf documents?
on it :)
You are ahead of the old-style beefy toolkits!
Thank you sir!
So helpful!
Phenomenal
holly cow... well done
I assume this uses an online LLM? or does it load up a local gguf like I'd like? can you briefly explain were to make such a switch if needed?
However, you didn't show how the website content was provided as input to the model. Could you explain how you integrated the website content into the autonomous assistant's knowledge base?
Hello, Currently I'm using RAG system to give law advice form only the law and regulation files I have put in the database.
Can this better it?
Function calling can definitely improve your RAG system, because you can train it to work like you do. Happy to help, message me on discord: discord.com/invite/4MtYHHrgA8
Whats is the infra cost in aws to run this ?
Are you going have the script to implement in azure also?
Yes i will, currently a few weeks from azure but getting there.
What if i dont want to use Docker? ANy options?
Yes most of our cookbooks at github.com/phidatahq/phidata/tree/main/cookbook run locally without docker
How do I do this in azure
i'm kind of confused. how is phidata different? there's RAG, there's vectorstore, there are ways to achieve the same thing. what make this different?
Phidata is a python library that can implement RAG and Vectorstores.