Verified claim · AI-ML · 100% confidence
ColBERT introduced in: Khattab & Zaharia 2020 — late-interaction retrieval.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 2335984b07f28cac
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Structured fields
- Subject
- ColBERT
- Predicate
introduced_in- Object
- Khattab & Zaharia 2020 — late-interaction retrieval
- Confidence
- 100%
- Tags
- colbert · stanford · retrieval · late-interaction · foundational · sigir · 2020 · introduced_in
Sources (2)
[1] preprint · arXiv / SIGIR 2020 (Khattab, Zaharia / Stanford) · 2020-04-27
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT“We present ColBERT, a novel ranking model that adapts deep LMs (in particular, BERT) for efficient retrieval. ColBERT introduces a late interaction architecture that independently encodes the query and the document using BERT and then employs a cheap yet powerful interaction step that models their fine-grained similarity.”
[2] github release · Stanford FutureData · 2020-04-27
ColBERT — official Stanford FutureData repository
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// "ColBERT introduced in: Khattab & Zaharia 2020 — late-interaction retrieval."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/2335984b07f28cac.json")
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# "ColBERT introduced in: Khattab & Zaharia 2020 — late-interaction retrieval."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_colbert_fact() -> dict:
"""Fetch the verified SourceScore claim for ColBERT."""
r = httpx.get("https://sourcescore.org/api/v1/claims/2335984b07f28cac.json")
return r.json()