Image & Vision · PyPI

ragas-ainative

Configure ragas RAG evaluation to use AINative's free LLMs + embeddings — no OpenAI key needed.

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Details

Author
AINative Studio
GitHub profile
@AINative-Studio
Category
Image & Vision
Platform
PyPI
GitHub
https://github.com/AINative-Studio/ragas-ainative
Framework
openai
Language
python
Stars
0
First indexed
2026-06-13
Last active
—
Directory sync
2026-06-13
@AINative-Studio

Overview

Configure ragas RAG evaluation to use AINative's free LLMs + embeddings — no OpenAI key needed.

Quick start

pip

pip install ragas-ainative

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

What ragas-ainative can do

llmragembeddingaiopenai
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Openai — openai task automation.

Frequently asked questions

What is ragas-ainative?
Configure ragas RAG evaluation to use AINative's free LLMs + embeddings — no OpenAI key needed.
How do I install ragas-ainative?
Use pip: `pip install ragas-ainative`. Full setup details on the source page linked above.
Is ragas-ainative open source?
ragas-ainative is published on PyPI.
What are alternatives to ragas-ainative?
Comparable agents include ppt-master, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for ragas-ainative is sourced from PyPI, published by AINative Studio.

Last scraped: · First indexed:

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