| # Comparing to LangChain |
| |
| *Rhetorical question*: which code would you rather maintain, change, and update? |
| |
| For a side by side comparison see [our docs](https://hamilton.dagworks.io/en/latest/code-comparisons/langchain/). |
| |
| In this directory you'll find a set of equivalent examples. |
| Most of the files are self-contained, and are prefixed with what |
| they have inside them. |
| |
| Files prefixed with `lcel_` are LangChain examples. |
| Files prefixed with `vanilla_` are what you would write in vanilla Python. |
| Files prefixed with `hamilton_` are the Hamilton equivalent of the examples. |
| |
| As you browse the files you'll see that: |
| |
| 1. LangChain's focus is on hiding details and making code terse. |
| 2. Hamilton's focus instead is on making code more readable, maintainable, and importantly customizeable. |
| |
| ## Implications |
| Don't be surprised that Hamilton's code is "longer" - that's by design. There is |
| also little abstraction between you, and the underlying libraries with Hamilton. |
| With LangChain they're abstracted away, so you can't really see easily what's going on |
| underneath. |
