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Rag Document Relevance prompt by rlm
0
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Template

Rag Document Relevance

by rlm langchain-prompt--rlm--rag-document-relevance
Nexus Index
0.0 Top 18%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 0
Q: Quality 0
Tech Context
Vital Performance
0 DL / 30D
0.0%

Evaluate whether retrieved documents for RAG are relevant to the user input question. This is useful for catching cases of bad retrieval.

Source →
Insufficient metadata for insights display
Prompt Information Summary
Entity Passport
Registry ID langchain-prompt--rlm--rag-document-relevance
Provider langchain
📜

Cite this prompt

Academic & Research Attribution

BibTeX 
@misc{langchain_prompt__rlm__rag_document_relevance,
  author = {rlm},
  title = {Rag Document Relevance Prompt},
  year = {2026},
  howpublished = {\url{https://smith.langchain.com/hub/rlm/rag-document-relevance}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
rlm. (2026). Rag Document Relevance [Prompt]. Free2AITools. https://smith.langchain.com/hub/rlm/rag-document-relevance

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
0.0
TOP 18% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Rag Document Relevance: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
❤ī¸
Likes
10

📋 Specs

Author
rlm
Explore Source Node

Technical Deep Dive

Evaluate whether retrieved documents for RAG are relevant to the user input question. This is useful for catching cases of bad retrieval.

Social Proof

HuggingFace Hub
10Likes
6.6KDownloads
Hub Discussions
đŸ“ĻData Source: langchain
🔄 Daily sync (03:00 UTC)

AI Summary: Based on langchain metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Prompt Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
langchain-prompt--rlm--rag-document-relevance
source
langchain
author
rlm
tags
StrucedPomp,QA vnsEgliha

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
prompt-template

📊 Engagement & Metrics

likes
10
downloads
6,614
forks
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)