RRepoGEO

REPOGEO REPORT · LITE

thinkany-ai/rag-search

Default branch main · commit 63d46683 · scanned 5/28/2026, 11:52:56 PM

GitHub: 1,182 stars · 166 forks

AI VISIBILITY SCORE
33 /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
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 thinkany-ai/rag-search, 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
    Expand README's opening to clearly state purpose and audience

    Why:

    CURRENT
    # rag-search

RAG Search API by thinkany.ai
    COPY-PASTE FIX
    # rag-search

`rag-search` is a FastAPI-based Retrieval Augmented Generation (RAG) Search API by thinkany.ai. It enables developers to quickly integrate advanced, context-aware search capabilities into their applications, enhancing search results with LLM-powered generation.
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai-search-engine, rag
    COPY-PASTE FIX
    ai-search-engine, rag, fastapi, api, retrieval-augmented-generation, llm-api
  • mediumabout#3
    Expand the repository description for better context

    Why:

    CURRENT
    RAG Search API
    COPY-PASTE FIX
    A FastAPI-based Retrieval Augmented Generation (RAG) Search API for integrating context-aware, LLM-powered search into applications.

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 thinkany-ai/rag-search
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 1×
  2. OpenAI's GPT-4 · recommended 1×
  3. Anthropic's Claude · recommended 1×
  4. weaviate/weaviate · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I integrate a robust retrieval augmented generation search API into my application?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. OpenAI's GPT-4
    3. Anthropic's Claude
    4. Weaviate (weaviate/weaviate)
    5. OpenAI Assistants API
    6. LangChain (langchain-ai/langchain)
    7. Chroma (chroma-core/chroma)
    8. FAISS (facebookresearch/faiss)
    9. Qdrant (qdrant/qdrant)
    10. Hugging Face
    11. LlamaIndex (run-llama/llama_index)
    12. Google Cloud Vertex AI Search
    13. Amazon Kendra
    14. Amazon Bedrock
    15. Amazon's Titan models
    16. AI21 Labs' Jurassic

    AI recommended 16 alternatives but never named thinkany-ai/rag-search. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a scalable API to enhance my application's search with retrieval augmented generation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic API
    3. Cohere Embed v3
    4. VoyageAI's embeddings
    5. Google Cloud Vertex AI
    6. Cohere API
    7. Azure OpenAI Service
    8. Azure AI Search
    9. Mistral AI API
    10. Hugging Face Inference API
    11. Sentence Transformers

    AI recommended 11 alternatives but never named thinkany-ai/rag-search. 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 thinkany-ai/rag-search?
    pass
    AI named thinkany-ai/rag-search explicitly

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

  • If a team adopts thinkany-ai/rag-search in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thinkany-ai/rag-search 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 thinkany-ai/rag-search solve, and who is the primary audience?
    pass
    AI did not name thinkany-ai/rag-search — 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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