I'll admit that I haven't looked it in a while, but as originally released, it was a textbook example on how to complicate a fundamentally simple and well-understood task (text templates, basically) with lots of useless abstractions that made it all sound more "enterprise". People would write complicated langchains, but then when you looked under the hood all it was doing is some string concatenation, and the result was actually less readable than a simple template with substitutions in it.
I am not sure what's the stereotype, but I tried using langchain and realised most of the functionality actually adds more code to use than simply writing my own direct API LLM calls.
Overall I felt like it solves a problem doesn't exist, and I've been happily sending direct API calls for years to LLMs without issues.
JSON Structured Output from OpenAI was released a year after the first LangChain release.
I think structured output with schema validation mostly replaces the need for complex prompt frameworks. I do look at the LC source from time to time because they do have good prompts backed into the framework.
When my company organized an LLM hackathon last year, they pushed for LangChain.. but then instead of building on top of it I ended up creating a more lightweight abstraction for our use-cases.
No dig at you, but I take the average langchain user as one who is either a) using it because their C-suite heard about at some AI conference and had it foisted upon them or b) does not care about software quality in general.
I've talked to many people who regret building on top of it but they're in too deep.
I think you may come to the same conclusions over time.
int_19h|2 months ago
phyzome|2 months ago
gcr|2 months ago
XCSme|2 months ago
Overall I felt like it solves a problem doesn't exist, and I've been happily sending direct API calls for years to LLMs without issues.
teruakohatu|2 months ago
I think structured output with schema validation mostly replaces the need for complex prompt frameworks. I do look at the LC source from time to time because they do have good prompts backed into the framework.
Insanity|2 months ago
That was more fun than actually using it.
prodigycorp|2 months ago
I've talked to many people who regret building on top of it but they're in too deep.
I think you may come to the same conclusions over time.
inlustra|2 months ago
wilkystyle|2 months ago