Business · PyPI

axiom-rag

Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval

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Details

Author
Axiom LLC
GitHub profile
@axiom-llc
Category
Business
Platform
PyPI
GitHub
https://github.com/axiom-llc/axiom-rag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@axiom-llc

Overview

Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval

Quick start

pip

pip install axiom-rag

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

What axiom-rag can do

llmragembeddingretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is axiom-rag?
Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval
How do I install axiom-rag?
Use pip: `pip install axiom-rag`. Full setup details on the source page linked above.
Is axiom-rag open source?
axiom-rag is published on PyPI.
What are alternatives to axiom-rag?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for axiom-rag is sourced from PyPI, published by Axiom LLC.

Last scraped: · First indexed:

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