Відео

Thank you very much for this explanation. Can you make more videos on the HybridRAG( combining the power of vectorDB and GraphDB) approaches.

The AI is so bad… I think it is very hilariously awful and can at times spread misleading information or whatever.

Sir please make a complete roadmap to master computer vision

Cloud for the win. No hassle of downloading it locally. thanks for the tutorial.

Thnkuu sir for such detailed roadmap

Thanks for the lecture.I have used ollama pull llama3 in my environment .I have used this in langchain agent .My question is as response going to llm and coming from llm(through rest api), I want to see the how my input preprocessing in the model,how to do it because I am running on local server .There must be some way to get into modela nd see how it is working

sir the gguf model is not being download there are some issues can you help me ?

Thank you for your work 👍

Can we deploy this online and make an api for it, for free?

Andhra style biryani ☠️☠️

Yes, please do a Microsoft Applied skills: "Develop AI agents using Microsoft Azure OpenAI and Semantic Kernel. big thanks

See running a notebook is fine, do something new for others to gain....just a honest feedback but good explaination and work

bro i get this certificate free you didn't show here how give exam free

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How can i contact you

You showed just text data. Does it also support csv data . e.g scenario which needs answering questions based on csv and pdf data both?

Can you explain Multimodal GraphRAG? If we modify this code to include images, what necessary steps need to be taken??

Really well explained

I am getting this error while querying , can anyone help with this usage: python -m graphrag.query [-h] [--config CONFIG] [--data DATA] [--root ROOT] --method {local,global} [--community_level COMMUNITY_LEVEL] [--response_type RESPONSE_TYPE] [--streaming] query python -m graphrag.query: error: argument --method: invalid SearchType value: 'local/global'

thanks

can you say which region has free arm instances because hyderabad and Mumbai region are out of stock

Hello MR Sai Kumar, while inserting in the document , it is throwing an error such as bad authentication indicating that, my credentials might be wrong while all the credentials are corrected when i double checked, can u please help on this one?

session was nice but ca you make video ongraph rag using open source llms or groq api key

thank you sir

Cool, this channel is really great. I have created embeddings on mongoDB to perform vector search, but to use it, we have to assign limit inside the vector search aggregation pipeline which always returns me the non-essential data. If the limit is too high, and if it is low, it will definitely miss some of the important data. I can't really fix this limit to get a particular number of matches because of the backend complexity. Can you please suggest me some alternatives or any solution to get the result which matches the user query. I also can't rely on the vector search score because they all are so close depending on the user query.

tqs for this video sir i am searching FREE API for months tqs sir, while using the API key does we need to paste all the code you mentioned or save the API key in .env and when required we can use from os.env for the required tasks

kya yah hianime par lanch kara ja sakta hai

Sir does project IDX leverages the cloud GPU s

Oracle

wow! it's amazing Sai, so how about the newely release Microsoft Applied skills: "Develop AI agents using Microsoft Azure OpenAI and Semantic Kernel? I got stuck on task 2, could you please make a video on that? thanks

Hey bro on Microsoft website it's all in words ... where can i find videos to learn all these please help..thanx

please make full playlist on this

i haven't watched the vid yet, but i experimented w/ graphrag when it came out ~5 mo ago... and it didn't work (back then) ~90% of the time (well, my implementation at least) and it was sloooooooow AKA computationally expensive; then triplets (sci-phi triplex) came out - have you experimented with that? my findings are that it's super fast (well, compared to graphrag) an maybe about on par (i didn't do a deep-dive / exhaustive test yet). what's your thought on that?

rl demo of matriarchy 🤣🤣🤣

wow best intro ever 🤣🤣🤣🤣💖💖

Hi bro any idea on how to embed existing documents in mongodb, i already have json data and wanted to do rag upon it, like how to bypass the loader part or how to load using json( tried that but not working)...

please create a video on transformers as well , Thanks in advance, your videos are very helpful.

Sai, Please share the whimsical link

That was really helpful. Can you tell why are we using lancedb here? What information is being stored in it? How exactly do we use it during local search?

What if you want to plug different types of existing neo4j graphdatabase instead of a sample text? I'd love to know how to give the llm access to the already existing nodes and edges

How to extract the context from where LLM is generating the answer as mentioned in each answer [Data: Entities(XY)]

it shows the capability but not the usability in the production level. for instanse I do not want to reindex every documents each time there is an addition or a document is updated.

10 minutes for a response ?

Thank you very much for the live demo.

Boss you have overloaded my brain. Will have to make graph rag of all your vids. Thank you for the basic understanding. If based in mumbai i would sure af like tuitions in pythong. Language. Want to learn how to speak in pythoniese. Basically.

I am waiting sir when will you start python lecture. you have described road map of python amazing sir

what is the cost incurred for indexing... Any details or reference on that?

Sir , better to make a roadmap of mlops similar to krish naik data science roadmap , with resources .

Joining in the journey of yours, Day 1 video completed.

What are the four files (claim_extraction, community_report, entity_extraction, summarize_description) within the Prompts folder for?