Verified claim · AI-ML · 100% confidence
Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation.
Last verified 2026-05-16 · Methodology veritas-v0.1 · c0219cf87124d20d
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Structured fields
- Subject
- Self-RAG
- Predicate
introduced_in- Object
- Asai et al. 2023 — self-reflective retrieval-augmented generation
- Confidence
- 100%
- Tags
- self-rag · rag · self-reflection · uw-nlp · allenai · 2023 · introduced_in
Sources (2)
[1] preprint · arXiv (Asai, Wu, Wang, Sil, Hajishirzi / University of Washington + Allen Institute for AI) · 2023-10-17
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection“We introduce a new framework called Self-Reflective Retrieval-Augmented Generation (Self-RAG) that enhances an LM's quality and factuality through retrieval and self-reflection. Our framework trains a single arbitrary LM that adaptively retrieves passages on-demand, and generates and reflects on retrieved passages and its own generations using special tokens, called reflection tokens.”
[2] official blog · Asai et al. / University of Washington · 2023-10-17
Self-RAG — official project page
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curl https://sourcescore.org/api/v1/claims/c0219cf87124d20d.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/c0219cf87124d20d.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/c0219cf87124d20d.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_self_rag_fact() -> dict:
"""Fetch the verified SourceScore claim for Self-RAG."""
r = httpx.get("https://sourcescore.org/api/v1/claims/c0219cf87124d20d.json")
return r.json()