Business · GitHub ·913 ★

rag-fusion

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

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Details

Author
Raudaschl
Category
Business
Platform
GitHub
Framework
openai
Language
python
Stars
913
First indexed
2026-05-15
Last active
2026-03-07
Directory sync
2026-05-15
@Raudaschl

Overview

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

Quick start

git

git clone https://github.com/Raudaschl/rag-fusion

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

What rag-fusion can do

raghr
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is rag-fusion?
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
How do I install rag-fusion?
Use git: `git clone https://github.com/Raudaschl/rag-fusion`. Full setup details on the source page linked above.
Is rag-fusion open source?
rag-fusion is published on GitHub.
What are alternatives to rag-fusion?
Comparable agents include awesome-llm-apps, vllm, aider. 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 rag-fusion is sourced from GitHub, published by Raudaschl.

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