RRepoGEO

REPOGEO REPORT · LITE

llm-tools/embedJs

Default branch main · commit 6323eaea · scanned 6/13/2026, 11:11:39 AM

GitHub: 604 stars · 75 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 llm-tools/embedJs, 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's 'What is EmbedJs?' section to directly counter AI misinterpretations

    Why:

    CURRENT
    EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js.
    COPY-PASTE FIX
    EmbedJs is an Open Source **Node.js framework** for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications. It is *not* for embedding JavaScript code into LLM prompts, but rather for personalizing LLM responses by managing data, embeddings, and vector databases within a Node.js environment.
  • mediumcomparison#2
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'Comparison with Alternatives' or 'Why EmbedJs?'. This section should briefly explain how EmbedJs stands out from other Node.js RAG frameworks like LlamaIndex.TS and LangChain.js, focusing on its specific strengths (e.g., ease of use, specific integrations, opinionated approach).
  • lowabout#3
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    A NodeJS RAG framework to easily work with LLMs and embeddings
    COPY-PASTE FIX
    An opinionated Node.js RAG framework for developers to easily build and manage LLM applications with embeddings and vector databases.

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 llm-tools/embedJs
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
run-llama/LlamaIndexTS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/LlamaIndexTS · recommended 1×
  2. langchain-ai/langchainjs · recommended 1×
  3. Pinecone · recommended 1×
  4. chroma-core/chroma · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to build a retrieval-augmented generation application in Node.js for personalized LLM responses?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex.TS (run-llama/LlamaIndexTS)
    2. LangChain.js (langchain-ai/langchainjs)
    3. Pinecone
    4. Chroma (chroma-core/chroma)
    5. OpenAI API
    6. Cohere API
    7. Hugging Face Transformers.js (xenova/transformers.js)

    AI recommended 7 alternatives but never named llm-tools/embedJs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Node.js frameworks for managing embeddings and vector databases for LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. Drizzle ORM
    4. TypeORM
    5. Prisma
    6. @pinecone-database/pinecone
    7. @qdrant/js-client-rest
    8. weaviate-ts-client
    9. faiss-node

    AI recommended 9 alternatives but never named llm-tools/embedJs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 llm-tools/embedJs?
    pass
    AI named llm-tools/embedJs explicitly

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

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

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

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