RRepoGEO

REPOGEO REPORT · LITE

docker/genai-stack

Default branch main · commit 0444f467 · scanned 5/21/2026, 3:33:03 PM

GitHub: 5,313 stars · 1,216 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 docker/genai-stack, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["genai", "llm", "rag", "docker", "langchain", "neo4j", "ollama", "knowledge-graph", "development-environment", "full-stack"]
  • highreadme#2
    Reposition README H1 to clarify its role as an integrated stack

    Why:

    CURRENT
    # GenAI Stack
The GenAI Stack will get you started building your own GenAI application in no time.
The demo applications can serve as inspiration or as a starting point.
Learn more about the details in the introduction blog post.
    COPY-PASTE FIX
    # GenAI Stack: A Containerized Local Development Environment for LLM Applications
The GenAI Stack provides a pre-configured, Docker-based environment to quickly build and experiment with Generative AI applications, integrating LangChain, Neo4j, and Ollama for local LLM development and knowledge graph capabilities. Use it as a starting point for your RAG applications.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://www.docker.com/blog/build-your-own-genai-stack-with-docker-langchain-neo4j-and-ollama/

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 docker/genai-stack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. Neo4j · recommended 1×
  3. Ollama · recommended 1×
  4. LangChain · recommended 1×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    Need a quick way to build generative AI applications with local LLMs and a graph database.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Neo4j
    3. Ollama
    4. LangChain
    5. LM Studio
    6. Memgraph
    7. ArangoDB
    8. TigerGraph Cloud
    9. Haystack

    AI recommended 9 alternatives but never named docker/genai-stack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a containerized full stack for developing LLM applications using knowledge graphs.
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 docker/genai-stack?
    pass
    AI did not name docker/genai-stack — 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 docker/genai-stack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named docker/genai-stack 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 docker/genai-stack solve, and who is the primary audience?
    pass
    AI named docker/genai-stack explicitly

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

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docker/genai-stack — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite