RRepoGEO

REPOGEO REPORT · LITE

jerry-ai-dev/MODULAR-RAG-MCP-SERVER

Default branch main · commit f658c5a4 · scanned 6/14/2026, 11:17:55 AM

GitHub: 983 stars · 214 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 jerry-ai-dev/MODULAR-RAG-MCP-SERVER, 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.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rag, retrieval-augmented-generation, llm, large-language-models, ai-assistants, copilot, claude, mcp-server, hybrid-search, multi-modal, rag-evaluation, python, modular, extensible
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals and add its text to the file.
  • mediumreadme#3
    Strengthen README opening to highlight core RAG system capabilities for integration

    Why:

    CURRENT
    > 一个可插拔、可观测的模块化 RAG（检索增强生成）服务框架，通过 MCP（Model Context Protocol）协议对外暴露工具接口，支持 Copilot / Claude 等 AI 助手直接调用。同时也是一份专为**大模型相关岗位学习与面试求职**设计的实战项目与配套教学资源。
    COPY-PASTE FIX
    > A pluggable, observable, and modular RAG (Retrieval-Augmented Generation) service framework designed for seamless integration into your applications. It exposes tool interfaces via the MCP (Model Context Protocol) for direct invocation by AI assistants like Copilot and Claude. This project also serves as a practical resource for learning and job seeking in large model related positions.

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.

Recall
0 / 2
0% of queries surface jerry-ai-dev/MODULAR-RAG-MCP-SERVER
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Haystack · recommended 2×
  4. Weaviate · recommended 2×
  5. RAGatouille · recommended 1×
  • CATEGORY QUERY
    Need a modular, extensible RAG system for integrating custom retrieval and generation components.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. RAGatouille
    5. DSPy
    6. PyTorch
    7. TensorFlow
    8. Hugging Face Transformers
    9. Faiss
    10. PostgreSQL
    11. pgvector
    12. Chroma
    13. Weaviate

    AI recommended 13 alternatives but never named jerry-ai-dev/MODULAR-RAG-MCP-SERVER. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a RAG framework supporting hybrid search, multi-modal processing, and AI assistant integration.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. Weaviate
    6. OpenSearch

    AI recommended 6 alternatives but never named jerry-ai-dev/MODULAR-RAG-MCP-SERVER. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

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 jerry-ai-dev/MODULAR-RAG-MCP-SERVER?
    pass
    AI named jerry-ai-dev/MODULAR-RAG-MCP-SERVER explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts jerry-ai-dev/MODULAR-RAG-MCP-SERVER in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jerry-ai-dev/MODULAR-RAG-MCP-SERVER 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 jerry-ai-dev/MODULAR-RAG-MCP-SERVER solve, and who is the primary audience?
    pass
    AI did not name jerry-ai-dev/MODULAR-RAG-MCP-SERVER — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite