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Can it extract written text or tables from paper?

Poderia criar mais conteúdos como esse, voltado para integração com grandes bancos de dados, além de ter um frontend mais simples para interação.

Parabéns pelo tutorial, um diferencial, pois todos que encontrei eram com o llamaindex e key openIA, que não é grátis, foi uma forma simples de mostrar a conexão com banco usando soluções grátis

A great in depth comparison video....🖤🖤

thanks

you so smart😍😍😍

Fantastic as always. In non persistent caching how can we restrict the number of cache and keep rotating the cache? Say want to restrict it to 100 entries

Your're life savior my guy, thank you so much for this!

is minicpm better than florence-2?

Agent stopped due to iteration limit or time limit. even though im only querying "how many total artist are there?". It seems the agent went on a endless loop The langsmith logs: <|start_header_id|>assistant<|end_header_id|> Thought: To answer this question, I need to count the total number of artists in the database. Action: sql_db_query_checker Action Input: "SELECT COUNT(*) FROM Artist Observation: SELECT COUNT(*) FROM Artist Thought: <|start_header_id|>assistant<|end_header_id|> Thought: To answer this question, I need to count the total number of artists in the database. Action: sql_db_query_checker Action Input: "SELECT COUNT(DISTINCT ArtistName) FROM Artist Observation: SELECT COUNT(DISTINCT ArtistName) FROM Artist Thought: <|start_header_id|>assistant<|end_header_id|> Thought: To answer this question, I need to count the total number of artists in the database. Action: sql_db_query_checker Action Input: "SELECT COUNT(*) FROM Artist Observation: SELECT COUNT(*) FROM Artist repeated 15 times

thanks man, great job

Wonderful tutorial. Thanks!

Have other languages? Thanks!!!

hey there can we do it without downloading video?

Great video. God bless you bro for kindly sharing your knowledge.

Hello, thank you for this video.

Hi there, nice video; can I ask where did you download this particular version of the model?

Hey Nice video thanks Can you please help the same dynamic retrieval for schema as well ?

Great, buddy!!!!!!

Good going

Can you explain how to show users their previous chats using the sql method

you are amazing sir

BRO YOU ARE THE BEST!

Here can we use minicpm from ollama?

Thank you so much for the videos!

thanks sir, you are superb🤗

thanks lot for this video but can we utilize this model on cpu. please answer me

notebook?

How do we get the bounding boxes of the OCR text using phi3 ?

instead of making new custom prompt just to make the limit to some X value. better use a config within the function, it will allow passing limit argument

It’s a good video. Can you make a video on connecting to MySQL and also how we can work with multiple schemas and tables for a query

Very helpful ❤✌️

what if the datasize is greater than 20gb? will it work?

how can i share the code to help me? i just did it until the end but at some point i dont know i got lost and keep the error

im trying following the code but not following you on min 7 doesnt quantize i dont see the folder

can you share code please?

Notebook link?

Agent stopped due to iteration limit or time limit. The custom agent is not consistent at all. Very unreliable. May be if you can use your approach what you did in Memory Management in Chatbots with the SQL agent.

Can you show how to do this with SQL agents?

how i can edit the prompt to allow write to tables?

the react agent seems to be going in a infinite loop

Will this work getting data from a ms sql db?

minimum system req??

Can you please create a video with Langgraph, most importantly agent based. Where agents can use specific tools and tasks and can also interact with each other. They can have their own state or memory to exchange information between each other.

nice tutorial !!! Please provide the notebook link.

Great work, very useful, did you release code？

Cool bro I really wanted it, thank you so much! Please have a logo on your channel and be consistent with the same quality, your content is very nice! Actually I'm also building a revolutionary AI tool, please can you help me with that? I made the AI agent using ollama library and other libraries (including my package which is not available in public) which is very nice and became more cool due to your this tutorial, now the only last thing I want please make a video on how to implement unlimited memory (or you can say context) to the AI agent I made, I use ollama.generate so I can't use the LLM's built in context, and even if I could I won't because it's very short. I watched the AI austin's unlimited memory video but I wasn't able to implement it to my AI agent as he was implementing on his AI agent instead of telling how can we also do that on our project actually. Please can you do that for me today, because I need it today. ALSO MAIN THING - Please use local storage instead of any cloud vector database or any type of cloud database. Thank you hope you will do that for me today. It's emergency otherwise I won't say to do it instantly. Please I join my hands. Please bro! 🙏🙏😥😥

Cool bro I really wanted it, thank you so much! Please have a logo on your channel and be consistent with the same quality, your content is very nice! Actually I'm also building a revolutionary AI tool, please can you help me with that? I made the AI agent using ollama library and other libraries (including my package which is not available in public) which is very nice and became more cool due to your this tutorial, now the only last thing I want please make a video on how to implement unlimited memory (or you can say context) to the AI agent I made, I use ollama.generate so I can't use the LLM's built in context, and even if I could I won't because it's very short. I watched the AI austin's unlimited memory video but I wasn't able to implement it to my AI agent as he was implementing on his AI agent instead of telling how can we also do that on our project actually. Please can you do that for me today, because I need it today. ALSO MAIN THING - Please use local storage instead of any cloud vector database or any type of cloud database. Thank you hope you will do that for me today. It's emergency otherwise I won't say to do it instantly. Please I join my hands. Please bro! 🙏🙏😥😥

I don't know why the response returns as an SQL not as Natural human languages

can we do that on GPU is it more faster?