Видео

repo for this?

query??

Hi i have a rag pipeline and now i want to integrate it with function calling agents how cab i do that?

runs with ollama?

Good presentation

Hi, first and foremost thank you so much for the video it's really helpful. I was trying to download the code but the url you provided seems to be not working. Is there a chance the code is still available?

Where is the repo or script?

Loved this video.

i want about dspy.predict how it works

Your website down? :(

nice tutorial but o1 is super expensive

✌

how can we apply caching here

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Some part of video are NOT relevant to real content, seems AI generated ..

highlighting up and down the code is really not helpful. you could do the video much better....title clickbait totally lost

Hi, just letting you know that your quickaitutorial domain is expired bro.

please help me Error decoding response: Expecting value: line 1 column 1 (char 0)

Yeah… Scraping “any website” is a clickbait.

Another @fireship thumbnail fanboy

hi, nice movie.... will u provide code to test it?

we need more people like u

How to add memory to adaptive RAG?

Can you please add presistence(memory) to CRAG?

Could you please provide requirements.txt file with all versions of packages used?

Lemmatizer was a new concept for me and your actual details on the NLP process was awesome.

Are you in China?

thanks for saving me time i dont want censored models wasting precious space!

You claim this is fully local, but you use OpenAI for the generation. Or am i wrong? If i am wrong I would ask you to explain how to change the llm for an Ollama model (or any other local model at thet).

Code, and thank you.

I am trying to follow your code, but in the KnowledgeGraph and QueryEngine classes, Concepts and AnswerCheck are not defined, respectively. Are these supposed to be Pydantic classes that we define ourselves, or am I missing something?

any links or resources for this? also any code that can be used ? maybe even share the streamlit app for this ?

can you please share the link to the code

dear sir, may i ask you why you got a chinese name ?

Seems like RAG Flow would have been Superior

Interesting video. I like a lot . Learnt a lot

Thank you for this. The amount of detail in your description is dizzying but has piqued my curiosity and it's worth studying. Again, thank you very much.

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Where is the codebase of this program?

What are the differences between mem0 and MemGPT? Which one is better for adding more tools like web search or getting the weather?

cool !

Great vid, its incredible how fast LLMs are improving. Just emailed you!

amazing work

It would have been nice to see the output.

Great find!

psa: you can run mem0 w/ free models (ollama), no need to pay... embedding model might still need chatgpt though (i haven't tried it yet, just what i know from a few months ago)

not sure if you all know, mem0 is a "fork" of the original prj "embedchain", essentially a re-branding of it