Langchain: The BEST Library For Building AI Apps In Python?

[@Python_paratha]

Your explanation are simple and precise, it's great that that explaining what exactly this code is doing instead of writing the code line by line .

[@pixegami]

Thank you! Glad you enjoyed it :)

[@luisjoseve]

Awesome explanation, thank you very much.

[@pixegami]

Thanks! I hope it was helpful.

[@SlaHu.]

LLM : libmagic library gave me the most pain when i was on a project. Its like everything was failing and falling apart.

[@UserHuge]

How do RAG and function calling combine?

[@pixegami]

If you have a deterministic sequence (e.g. RAG first, then use the results and call a function), then you can create a chain: python.langchain.com/docs/modules/chains/ If you need the AI to reason about which action to take next (e.g. RAG or function calling) then use an Agent, and add "RAG" and "function calling" as tools: python.langchain.com/docs/modules/agents/tools/

[@astronemir]

Why would langchain just reinvent .() chaining? Abusing the python syntax like this. Just return and take in self to enable it using classes, or use a functional pattern. I’m disgusted, lol.

[@pixegami]

I guess you're referring to the LCEL for chaining the expressions? I don't like how it works either. It uses fewer lines/words, but it really does feel a lot less intuitive to parse than just standard function chaining.