Verified claim · AI-ML · 95% confidence
RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG.
Last verified 2026-05-16 · Methodology veritas-v0.1 · fe4a0d68944f9e5e
Structured fields
- Subject
- RAG-Fusion
- Predicate
popularized_in- Object
- Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG
- Confidence
- 95%
- Tags
- rag-fusion · raudaschl · rag · retrieval · 2023 · introduced_in
Sources (2)
[1] github release · Adrian Raudaschl · 2023-10-04
rag-fusion — official Adrian Raudaschl reference implementation“Rag-Fusion is a novel approach to information retrieval that combines RAG (Retrieval-Augmented Generation) and Reciprocal Rank Fusion (RRF). It generates multiple queries from a single user query, retrieves documents for each, and re-ranks using RRF.”
[2] official blog · Towards Data Science / Adrian Raudaschl · 2023-10-04
Forget RAG, the future is RAG-Fusion
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Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.
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const r = await fetch("https://sourcescore.org/api/v1/claims/fe4a0d68944f9e5e.json");
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// "RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/fe4a0d68944f9e5e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_rag_fusion_fact() -> dict:
"""Fetch the verified SourceScore claim for RAG-Fusion."""
r = httpx.get("https://sourcescore.org/api/v1/claims/fe4a0d68944f9e5e.json")
return r.json()