Nice intro to what LangChain4j is capable of doing.
@talesfromthejarside7 ай бұрын
Thanks :)
@Talaria.School2 ай бұрын
Thanks a lot, for the content.
@talesfromthejarside2 ай бұрын
Glad you liked it
@Matayo0Bweta3 ай бұрын
Fantastic! a question related to Data ingestion, do you have something or a link that is talking about ingesting and manipulating tabular data from csv, excel or that type of sources?
@donaldf.coffin81308 ай бұрын
Great show, Ken! How did you get the DEBUG: lines to print?
@talesfromthejarside8 ай бұрын
Thanks! I have a file called logback.xml in my src/main/resources directory, and in that file the level of "root" is set to "debug". That's mostly useful when you turn on logging in a chat model, but here it turned out to be convenient anyway. Clearly I need to add my repo to GitHub, which I'll do after I've cleaned up a few things. Thanks for commenting!
@devendra4you4 ай бұрын
Does langchain4j handles token limit for model if function call responds tokens > limit ?
@talesfromthejarside4 ай бұрын
I don't think it does anything other than whatever the underlying AI tool does. Most of them don't handle that well either. But token limits keep going up and up, so maybe that won't be a serious problem for you
@NIKHILDUBEY190319937 ай бұрын
does it work with demo api key provided by langchain4j?
@talesfromthejarside7 ай бұрын
It should, but I have my own key so I didn't try their demo key. Good luck!
@NIKHILDUBEY190319937 ай бұрын
@@talesfromthejarside I have been trying out with demo key. It works except that it doesn't execute any of the tools. If you could confirm, it would be really helpful.
@talesfromthejarside7 ай бұрын
That's very strange. I'll see what I can do. You should be aware, however, that LangChain4j has a Discord server at discord.com/invite/JzTFvyjG6R . I'm somebody there will know the answer right away
@pandeyZee5 ай бұрын
Can you please create a vedio about how to use function in langchain4j usimg gpt4
@talesfromthejarside5 ай бұрын
"Tool support" and "function calling" are two terms that mean the same thing. Check the OpenAI docs and you'll see them used interchangeably. I'm LangChain4j, you use the @Tool annotation to indicate which "function" (i.e., method) inside a class you want the AI to call. In other words, you already found the right video :-)