Swiss army-knife for composing LLM outputs
Project description
😶 Wordcel
wordcel
is a library of functions that provides a set of common tools for working with large language models.
Candidly, it is mostly a set of functions that I myself use on a regular basis — my own personal Swiss army knife.
Installation
You can simply pip install wordcel
.
Documentation
- LLM APIs: Wrapper functions over the most common LLM APIs.
- RAG: Helper functions for RAG, and a minimal implementation of Anthropic's "Contextual Retrieval" method.
- featurize: Helper functions for multithreaded inference over text columns in pandas DataFrames.
- DAG: WordcelDAG is a flexible and extensible framework for defining and executing Directed Acyclic Graphs (DAGs) of data processing tasks, particularly involving LLMs and dataframes.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wordcel-0.2.8.tar.gz
(12.8 kB
view hashes)
Built Distribution
Close
Hashes for wordcel-0.2.8-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9c91140395226dfaebeff11ae21211821c188b2704cc9250cb17dd30c03922b0 |
|
MD5 | ce06d4a73571f56e2870ee86a04f3312 |
|
BLAKE2b-256 | 0c7fb6695097494f7859b4b6e813c4e3915ae3e327629073527ffe5a6a266a69 |