Semlib: Python Library for Building LLM-Powered Data Processing Pipelines with Natural Language

Semlib provides, as building blocks, familiar functional programming primitives like map, reduce, sort, and filter, but with a twist: Semlib's implementation of these operations are programmed with natural language descriptions rather than code.

Under the hood, Semlib handles complexities such as prompting, parsing, concurrency control, caching, and cost tracking.

Build data processing and data analysis pipelines that leverage the power of large language models (LLMs).