RRepoGEO

REPOGEO REPORT · LITE

finic-ai/rag-stack

Default branch main · commit 265d938c · scanned 5/9/2026, 1:22:43 AM

GitHub: 1,588 stars · 138 forks

AI VISIBILITY SCORE
35 /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
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 finic-ai/rag-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 comprehensive topics to improve categorization

    Why:

    COPY-PASTE FIX
    rag, llm, open-source-llm, private-ai, chatbot, vpc, enterprise-ai, knowledge-base, llama2, falcon, gpt4all, deployment, kubernetes, docker, self-hosted, on-premise
  • highreadme#2
    Add a sentence to README clarifying the project's relationship to its homepage

    Why:

    COPY-PASTE FIX
    Add a sentence like: "This repository provides the open-source RAGstack for self-hosting your private AI. For a managed solution built on similar principles, visit [ChatMyFiles.com](https://www.chatmyfiles.com/)."
  • mediumreadme#3
    Add a 'What RAGstack Is' section to clarify its role as a deployment stack

    Why:

    COPY-PASTE FIX
    Add a section after the initial description, before explaining RAG, such as:

## What is RAGstack?
RAGstack is a comprehensive, opinionated, and production-ready full-stack boilerplate for deploying Retrieval Augmented Generation (RAG) applications. It provides all the necessary components to host a private, corporate AI chatbot within your own VPC or private cloud environment, connecting to your organization's knowledge base using open-source LLMs.

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 finic-ai/rag-stack
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Mistral · recommended 2×
  3. Microsoft Azure OpenAI Service · recommended 1×
  4. Azure AI Search · recommended 1×
  5. AWS Bedrock · recommended 1×
  • CATEGORY QUERY
    How to deploy a private AI chatbot for internal use, connected to corporate data?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Azure OpenAI Service
    2. Azure AI Search
    3. AWS Bedrock
    4. Amazon Kendra
    5. Amazon OpenSearch Service
    6. Google Cloud Vertex AI
    7. Google Cloud Search
    8. AlloyDB
    9. BigQuery
    10. OpenAI API
    11. Pinecone
    12. Weaviate (weaviate/weaviate)
    13. Qdrant (qdrant/qdrant)
    14. PostgreSQL with pgvector (pgvector/pgvector)
    15. LangChain (langchain-ai/langchain)
    16. LlamaIndex (run-llama/llama_index)
    17. Hugging Face Inference Endpoints
    18. DataRobot
    19. Llama 2
    20. Mistral
    21. Kubernetes (kubernetes/kubernetes)
    22. NVIDIA GPUs

    AI recommended 22 alternatives but never named finic-ai/rag-stack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for building a custom RAG solution with open-source LLMs in a private cloud?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Hugging Face Transformers
    5. Hugging Face Accelerate
    6. Llama 3
    7. Mistral
    8. Mixtral
    9. BGE
    10. E5
    11. OpenAI's text-embedding-ada-002
    12. Faiss
    13. Weaviate
    14. Qdrant
    15. Milvus
    16. Pinecone
    17. Chroma

    AI recommended 17 alternatives but never named finic-ai/rag-stack. This is the gap to close.

    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 finic-ai/rag-stack?
    pass
    AI named finic-ai/rag-stack explicitly

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

  • If a team adopts finic-ai/rag-stack in production, what risks or prerequisites should they evaluate first?
    pass
    AI named finic-ai/rag-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 finic-ai/rag-stack solve, and who is the primary audience?
    pass
    AI named finic-ai/rag-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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite