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Rag Survey agent by hymie122
⭐ 9
Agent

Rag Survey

by hymie122 ID: gh-agent--hymie122--rag-survey
FNI Rank 9
Percentile Top 13%
Activity
β†’ 0.0%

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

View Source Code β†’
Logic Audit 9 FNI Score
- Tools
Python Language
1.8K Stars
Community Capability
Agent Information Summary
Entity Passport
Registry ID gh-agent--hymie122--rag-survey
Provider github

πŸ•ΈοΈ Neural Mesh Hub

Interconnecting Research, Data & Ecosystem

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πŸ”— Core Ecosystem

πŸ•ΈοΈ

Intelligence Hive

Multi-source Relation Matrix

Live Index
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Momentum Index

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Contextual Anchors

aigc diffusion-models llm multimodality rag survey discovered
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Cite this agent

Academic & Research Attribution

BibTeX 
@misc{gh_agent__hymie122__rag_survey,
  author = {hymie122},
  title = {Rag Survey Agent},
  year = {2026},
  howpublished = {\url{https://github.com/hymie122/RAG-Survey}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
hymie122. (2026). Rag Survey [Agent]. Free2AITools. https://github.com/hymie122/RAG-Survey

πŸ”¬Technical Deep Dive

Full Specifications [+]

⚑ Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/hymie122/RAG-Survey
🐍 PIP Install
pip install rag-survey

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
9.0
Top 13% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

This Rag Survey has a P score of 0 (popularity from downloads/likes), V of 0 (growth velocity), C of 0 (credibility from citations), and U of 0 (utility/deploy support).

πŸ”— Source Links (Click to verify)

πŸ“Š P: HuggingFace Stats πŸ“ˆ V: 7-Day Delta πŸ“„ C: Papers With Code πŸ”§ U: Deploy Score
Data Verified πŸ• Last Updated: Not calculated
Free2AI Nexus Index | Fair Β· Transparent Β· Explainable | Full Methodology
❀️
Likes
1,789

Agent Profile

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

ZEN MODE β€’ Agent Profile

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Social Proof

GitHub Repository
1.8KStars
123Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Daily sync (03:00 UTC)

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Agent Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

πŸ†” Identity & Source

id
gh-agent--hymie122--rag-survey
source
github
author
hymie122
tags
aigcdiffusion-modelsllmmultimodalityragsurveydiscovered

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
discovered

πŸ“Š Engagement & Metrics

likes
1,789
downloads
0
github stars
1,787

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