Why Instructor might be a better bet than Langchain
Introduction
If you're building LLM applications, a common question is which framework to use: Langchain, Instructor, or something else entirely. I've found that this decision really comes down to a few critical factors to choose the right one for your application. We'll do so in three parts
- First we'll talk about testing and granular controls and why you should be thinking about it from the start
- Then we'll explain why you should be evaluating a framework's ability to experiment quickly with different models and prompts and adopt new features quickly.
- Finally, we'll consider why long term maintenance is also an important factor and why Instructor often provides a balanced solution, offering both simplicity and flexibility.