[havercosine]

Personal experience: was using LangChain and its output parsers for getting structured data. It was having a very high error rates (probably prompt was becoming too long and confusing). But it is a just prompt + some parsing logic. Replaced it with straight asking openAI GPT for json that matches some Rust struct / Python data-class. The errors went down and got one extra dependency out from the project. Tried to use its self hosted embeddings but the implementation (strangely) seemed tied to something called Run-house.

Not to belittle the library, but most of it is a very thin wrapper classes that reek of premature abstraction, couple with hit-n-miss docs. At this point, given the hype, it is primarily optimized for cooking up demoes quickly. But not sure if the valuations or production use is justified.