fenic

Author-email: typedef <hello@typedef.ai> License-Expression: Apache-2.0 Requires-Python: >=3.10 Description-Content-Type: text/x-rst Project-URL: Homepage, https://github.com/typedef-ai/fenic Project-URL: Issues, https://github.com/typedef-ai/fenic/issues

fenic: The dataframe (re)built for LLM inference

fenic is an opinionated, PySpark-inspired DataFrame framework for building AI and agentic applications. Transform unstructured and structured data into insights using familiar DataFrame operations enhanced with semantic intelligence. With first-class support for markdown, transcripts, and semantic operators, plus efficient batch inference across any model provider.

See github.com/typedef-ai/fenic for more information

Install optional feature extras only when you need heavier operators:

pip install "fenic[pdf]"       # semantic.parse_pdf and PDF metadata loading
pip install "fenic[cluster]"   # DataFrame.semantic.with_cluster_labels
pip install "fenic[sim-join]"  # semantic.sim_join

Extras can be combined with model provider extras, for example:

pip install "fenic[google,pdf,cluster,sim-join]"

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