[popcorncowboy]

This is what blows my mind. They raised a 10M seed on what is (no disrespect intended) a wafer thin abstraction that an experienced dev really could implement the core of in a few days. Obviously the raise was about the momentum and mindshare Langchain holds, but still. Wow.

[mattizzle81]

Agreed. The text parsing for feeding prompts into an LLM and parsing a response is about as simple and straightforward as it gets in programming. It is nice to have some control over that process and know what your code is doing every step along the way. It doesn’t need to do much anyway, the LLM is doing the hard work mostly. It makes no sense to me and I’m trying to understand it, but I just can’t see the value in a black box library to interface with an LLM when it’s so easy to DIY.

[Karrot_Kream]

I agree that their current implementation is what you said, something an experienced dev can do in a couple days. But they have the potential to really make a robust library here. The thing is, there's a lot of small things with stop sequences, token estimation, API call backoff, and generic structures that are just a pain to make yourself.

But you're right that their moat will probably be razor then. A few senior devs can get together and probably hackathon a library that's just like Langchain but much more robust. Thanks for an idea on what I'm gonna do this weekend lol.

[satvikpendem]

> But you're right that their moat will probably be razor then. A few senior devs can get together and probably hackathon a library that's just like Langchain but much more robust. Thanks for an idea on what I'm gonna do this weekend lol.

Did you do it? I'm doing something similar but in Rust, for my product. It'll be open source soon enough.