RRepoGEO

REPOGEO REPORT · LITE

jamwithai/production-agentic-rag-course

Default branch main · commit 424a0eb9 · scanned 5/10/2026, 5:22:22 AM

GitHub: 5,850 stars · 1,402 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 jamwithai/production-agentic-rag-course, 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
  • highreadme#1
    Reposition the README H1 to clearly state it's a RAG course

    Why:

    CURRENT
    # The Mother of AI Project
    COPY-PASTE FIX
    # Production-Grade Agentic RAG Course: Build an arXiv Paper Curator
  • highabout#2
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A learner-focused course to build production-grade agentic RAG systems from scratch, mastering hybrid retrieval and industry best practices.
  • hightopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rag, retrieval-augmented-generation, agentic-ai, production-ai, ai-course, machine-learning-course, python, fastapi, opensearch, postgresql, docker, hybrid-search

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 jamwithai/production-agentic-rag-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 1×
  3. DeepLearning.AI · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Hugging Face Datasets · recommended 1×
  • CATEGORY QUERY
    How can I learn to build production-grade RAG systems from scratch using best practices?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DeepLearning.AI
    4. Hugging Face Transformers
    5. Hugging Face Datasets
    6. Pinecone
    7. Weaviate
    8. Chroma
    9. Designing Data-Intensive Applications

    AI recommended 9 alternatives but never named jamwithai/production-agentic-rag-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good courses for implementing hybrid RAG starting with keyword search foundations?
    you: not recommended
    AI recommended (in order):
    1. LangChain

    AI recommended 1 alternative but never named jamwithai/production-agentic-rag-course. 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 jamwithai/production-agentic-rag-course?
    pass
    AI did not name jamwithai/production-agentic-rag-course — 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?

  • If a team adopts jamwithai/production-agentic-rag-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jamwithai/production-agentic-rag-course 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 jamwithai/production-agentic-rag-course solve, and who is the primary audience?
    pass
    AI named jamwithai/production-agentic-rag-course explicitly

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

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jamwithai/production-agentic-rag-course — RepoGEO report