Data & Research · PyPI

polars-llm

Call LLMs and embedding models from a Polars DataFrame, one row at a time, using native Polars expressions. Powered by LangChain.

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Details

Author
Diego Garcia Lozano
GitHub profile
@diegoglozano
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/diegoglozano/polars-llm
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@diegoglozano

Overview

Call LLMs and embedding models from a Polars DataFrame, one row at a time, using native Polars expressions. Powered by LangChain.

Quick start

pip

pip install polars-llm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What polars-llm can do

llmembeddingaiopenaianthropic
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Anthropic — anthropic task automation.

Frequently asked questions

What is polars-llm?
Call LLMs and embedding models from a Polars DataFrame, one row at a time, using native Polars expressions. Powered by LangChain.
How do I install polars-llm?
Use pip: `pip install polars-llm`. Full setup details on the source page linked above.
Is polars-llm open source?
polars-llm is published on PyPI.
What are alternatives to polars-llm?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for polars-llm is sourced from PyPI, published by Diego Garcia Lozano.

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