AI Infrastructure · PyPI

verifiable-rag

Document-grounded Q&A with sentence-level citations and faithfulness verification

View on PyPI GitHub repository Claim & verify ownership

Details

Author
Rishi Gulati
GitHub profile
@firish
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/firish/rag-rack
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-01
Last active
—
Directory sync
2026-06-01
@firish

Overview

Document-grounded Q&A with sentence-level citations and faithfulness verification

Quick start

pip

pip install verifiable-rag

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

What verifiable-rag can do

llmragairetrievalfaithfulness
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.
  • Faithfulness — faithfulness task automation.

Frequently asked questions

What is verifiable-rag?
Document-grounded Q&A with sentence-level citations and faithfulness verification
How do I install verifiable-rag?
Use pip: `pip install verifiable-rag`. Full setup details on the source page linked above.
Is verifiable-rag open source?
verifiable-rag is published on PyPI.
What are alternatives to verifiable-rag?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for verifiable-rag is sourced from PyPI, published by Rishi Gulati.

Last scraped: · First indexed:

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