Welcome!
Welcome to the documentation for ralf, the base library within the larger RALF Ecosystem. Here you will find documentation and tutorials that will help you get started with building applications using Large Language Models (LLMs).
Note
This project is still under active development. If you find a bug or want to suggest a change, please create a Github issue or email ralf@jhuapl.edu. Also, if you’re interested in contributing to the project, let us know! We are eager to see the project grow if the community finds it useful.
About
ralf is a Python library intended to assist developers in creating applications that involve calls to LLMs. A core concept in ralf is the idea of composability, which allows chaining together LLM calls such that the output of one call can be used to form the prompt of another. ralf makes it easy to chain together both LLM-based and Python-based actions– enabling developers to construct complex information processing pipelines composed of simpler building blocks. Using LLMs in this way can lead to more capable, robust, steerable and inspectable applications.
Currently, the ralf base library offers generic functionality for action chaining
(through the Dispatcher and Action classes) as well as text classificaiton
(through the ZeroShotClassifier class). Check out the other projects within
the RALF ecosystem for more specialized functionality, like dialogue management
and information extraction.