Good introduction for people with no AI nor code knowledge the steps can be abstractly understood. The names of elements given some understanding.
@xt37083 күн бұрын
Thank you for all of your videos! you have a gift for explaining difficult concepts with simplicity and clarity. Happy New Year, hope you are doing well, haven't seen a new video in a while
@theguy542311 күн бұрын
2:20 i think you could have improved the diagram flow here. This is really confusing.
@charlielaw4816 күн бұрын
This is so good - even better than how LangChain explains itself in their doc (including LangGraph and LangSmith tutorials)!
@Dream4rc16 күн бұрын
This is exactly what i needed for my project. thanks a lot!!
@DENai-win19 күн бұрын
Recently, I saw this tool called Composio, it says that it helps with integrations, would love to have a video on it
@joseduarte124024 күн бұрын
Really need some help in one project
@joseduarte124024 күн бұрын
Can we talk in discord twitter or other?
@adithyavenugopal152227 күн бұрын
Is A/B testing really dead?
@srinivasamaddukuri28227 күн бұрын
vey useful illustration with the diagram. can you post lang graph, smith and server usage
@JackMeier-fg1nm28 күн бұрын
Great content, great relatable presentation, conceptual overview before seeing the code structure. You honestly have a great workflow/understanding for how to present information. Keep it up and stay on this course. You are really providing value, people realize this once they actually engage with you content. Tack!
@halisyilmaz_28 күн бұрын
Nice job, I will definetly try feeding the result with errors and re-try policy to my app. Also you can increase the performance of filtering andunderstanding via explaining the table in detail in your template message
@ameraid05Ай бұрын
A more likely benefits, is that people pesonality also changes. For example this person became a mom, so you will like adapt the persona type over time
@ZorroS-b9zАй бұрын
Thank you. Information is presented really well for a 5 year old like me
@FIBONACCIVEGAАй бұрын
Im back . Just struggling to fix Erro 401 in my workflow . I have all the credential and everything running but even with the cloud function working I can't run the workflow . Please help 😭😭😭😭😭
@jnayehsirine6222Ай бұрын
Heyy , am I the only one that the code on github didnt execute !
@FIBONACCIVEGAАй бұрын
I have watched many videos and this has to be the best of all. It shows in a practical way step by step. I have a problem in my function since it requires extracting credentials from another API and then sending them to BIGQUERY but the configuration of these has not worked for me. Like me, you have your credentials in the .env but I don't understand how to do it so that it uses this in the functions.
@_mohamedesmatАй бұрын
which tool you used for creating this diagram please?
@FlynnL-r7kАй бұрын
This is a brilliant tutorial thanks very much!
@postnetworkacademyАй бұрын
"Great video! This explanation of LangChain's core concepts is super helpful for beginners looking to build LLM applications. Thanks for sharing the code link as well-makes it easy to follow along and experiment!"
@karoinnovation1033Ай бұрын
This channel is insanely good! I am sure it will get the attention it deserves. Great stuff indeed. No BS, straight to the point. Super excited to found this channel.
@manrajsingh8617Ай бұрын
Best video I have ever seen on explaining Langchain soo far 💯
@gouthamansaravanan76922 ай бұрын
Thats super neat !!
@LostInTheRush2 ай бұрын
Er du tilfældigvis Dansker? 😅
@lovebaking25032 ай бұрын
can I know where is the command to load your APi Key before you call the chatopenAI function? thanks..
@srikumaraduri49442 ай бұрын
Great instructional Video. Very well done. Thank you for sharing. sub'ed right away.
@maharun2 ай бұрын
so agents are nothing but a function? (feel free to correct me if I'm wrong)
@Amr-fc1kd2 ай бұрын
Very interesting information, but i didn't get it what could be the privilege of using langChain + Pincone vs using open AI Assistance + vectore storage ?
@MaiaraAraujo-h8n2 ай бұрын
Question: Due to the looping in Langchain's Agent, is there an excessive consumption of tokens?
@TymofiiNas3 ай бұрын
Can you please describe your learning process of the new things? I want to be as good as you are
@TymofiiNas3 ай бұрын
Instant sub, no bs, just straight really helpful info from the specialist. Thank you so much man and your website is amazing, now it's my favorite!
@MikeCummings-ki2nk3 ай бұрын
Always say what environment you are working in the title.. windows/linux/........
@returncode00003 ай бұрын
Incredible tutorial, I learnt a lot! Will you also do videos on langgraph or crewai?
@GerryRCS3 ай бұрын
We need more videos like this, comprehensive for the general public and for newbies like me. Thank you!
@abhinabaghose33803 ай бұрын
what has been your experience with text to pandas dataframe? Is it better than text to sql in terms of complexity?
@PetronasBoyy3 ай бұрын
I am working on this for a Business and I can relate to everything you said. Getting a structured output is hard. Getting deterministic outputs is hard. Multiple cons of Vector DBs when the data is live. (Changes in stock levels and all).
@meudta2933 ай бұрын
How does de LLM know the exact table names ? How it's aware of it?
@halisyilmaz_28 күн бұрын
I am working on a similar project and it gets tabel names, columns from db_schema and usually if you explain the meaning and connections between the columns and tables in your message template it helps to LLM understand table better. Also additionally you can ask LLM to not include any unwanted characters like ' in the template as an extra filtering.
@mrchongnoi3 ай бұрын
I am late to the game on this video. I have been working on a TextToSQL project. Like most of the examples I have viewed, the LLM can understand the context of columns. From the project I am working on, the names of the columns may have some hint of what the data would be or its use. The schema I have has a date, a reference date, and a delivery date. Delivery date is obvious. There are other fields where the names are not indicative of the values. What happens when you have multiple tables with a large schema? My approach is to use the LLM to build the SQL and not to synthesize, as the amount of data could be quite large.
@premmanu65573 ай бұрын
You should be able to define some of the fields in the prompt with examples. That way the model can try to differentiate what the field means
@rishabsingh72654 ай бұрын
Great Video, please improve the audio and soundtrack choice.
@sahinakhtar22464 ай бұрын
Unable to see the names of the db using "print(db.get_usable_table_names())" but the Database connected successfully, it shows an empty array [], What I'll do?
@mnava42904 ай бұрын
Excellent coding examples. Please do more of these. Please do a tutorial on how to summarise comments received on a KZbin video.
@DeborahJones-b9x4 ай бұрын
937 Hartmann Parkways
@EdmundDwight-i8o4 ай бұрын
Walker Susan Lewis Deborah Miller Patricia
@SiarheiAkhramenia4 ай бұрын
No single piece of code provided here is runnable in 2024 due to API changes :(
@CeejayPTcoach4 ай бұрын
hi sir , will using different Models for the embedding and Answers Generation not reduce the Precision ?
@paoloalvarez97884 ай бұрын
Great content!
@NavyaVedachala4 ай бұрын
Thank you!
@antonlagergren4 ай бұрын
Wonderful content 🌟 Thank you for making this. - Question - Which application did you use to create the presentation? (@ approx min 4:39 with the expanding and collapsible menus/topics) It looks great and I’d like to try and use that to make my own presentations. Thank you!
@verygood53774 ай бұрын
Yes, I also want to know
@lamak_Hales3 ай бұрын
maybe prezi
@Traveling_with_Tyler4 ай бұрын
Thank you for the resource but it does not work for me. It would be great if the video includes how to get those strings for topic, dress. This video might be good resource for people who already known pub/sub but it is a little hard to do step by step action for beginners