REPOGEO REPORT · LITE
yuntianhe2014/Easy-RAG
Default branch main · commit 7c4e398d · scanned 6/12/2026, 10:22:34 PM
GitHub: 524 stars · 51 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yuntianhe2014/Easy-RAG, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXrag, retrieval-augmented-generation, llm, large-language-models, ai-search, web-search, knowledge-base, vector-database, nlp, python
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
- highreadme#3Add a concise English positioning statement to the README
Why:
CURRENT# Easy-RAG 一个适合学习、使用、自主扩展的RAG【检索增强生成】系统，可以联网做AI搜索！
COPY-PASTE FIX# Easy-RAG A customizable and extensible Retrieval Augmented Generation (RAG) system for learning and practical use, featuring AI web search and support for diverse document types including audio/video. 一个适合学习、使用、自主扩展的RAG【检索增强生成】系统，可以联网做AI搜索！
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LlamaIndex · recommended 2×
- CATEGORY QUERYHow to build a customizable RAG system for diverse document types and learning purposes?you: not recommendedAI recommended (in order):
- LlamaIndex
AI recommended 1 alternative but never named yuntianhe2014/Easy-RAG. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat RAG framework offers AI web search and processes audio/video documents?you: not recommendedAI recommended (in order):
- LlamaIndex
AI recommended 1 alternative but never named yuntianhe2014/Easy-RAG. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of yuntianhe2014/Easy-RAG?passAI named yuntianhe2014/Easy-RAG explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts yuntianhe2014/Easy-RAG in production, what risks or prerequisites should they evaluate first?passAI named yuntianhe2014/Easy-RAG explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo yuntianhe2014/Easy-RAG solve, and who is the primary audience?passAI named yuntianhe2014/Easy-RAG explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of yuntianhe2014/Easy-RAG. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/yuntianhe2014/Easy-RAG)<a href="https://repogeo.com/en/r/yuntianhe2014/Easy-RAG"><img src="https://repogeo.com/badge/yuntianhe2014/Easy-RAG.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
yuntianhe2014/Easy-RAG — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite