RRepoGEO

REPOGEO REPORT · LITE

finic-ai/rag-stack

Default branch main · commit 265d938c · scanned 6/18/2026, 8:14:05 PM

GitHub: 1,587 stars · 139 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
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 the repository

    Why:

    COPY-PASTE FIX
    ["rag", "retrieval-augmented-generation", "llm", "open-source-llm", "private-ai", "enterprise-ai", "vpc", "chatbot", "knowledge-base", "llama2", "falcon", "gpt4all", "kubernetes", "self-hosted"]
  • highreadme#2
    Reposition README introduction to clarify "complete, self-hosted stack"

    Why:

    CURRENT
    Deploy a private ChatGPT alternative hosted within your VPC. Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All.
    COPY-PASTE FIX
    RAGstack is a complete, self-hosted, open-source solution to deploy a private ChatGPT alternative within your VPC. Unlike managed cloud services or individual RAG components, RAGstack provides the full stack to connect to your organization's knowledge base and use it as a corporate oracle, supporting LLMs like Llama 2, Falcon, and GPT4All.
  • mediumreadme#3
    Add an explicit link to the project homepage in the README

    Why:

    COPY-PASTE FIX
    Add a line near the top of your README, such as: '✨ See RAGstack in action at our official homepage: [ChatMyFiles.com](https://www.chatmyfiles.com/)'

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
Azure OpenAI Service
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure OpenAI Service · recommended 2×
  2. Pinecone · recommended 2×
  3. Weaviate · recommended 2×
  4. Chroma · recommended 2×
  5. Kubernetes · recommended 2×
  • CATEGORY QUERY
    How to build a secure, private AI chatbot for internal company knowledge base?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. AWS Bedrock
    3. Google Cloud Vertex AI
    4. Llama 2
    5. Mistral 7B
    6. Mixtral 8x7B
    7. Falcon
    8. LangChain
    9. LlamaIndex
    10. Pinecone
    11. Weaviate
    12. Qdrant
    13. Chroma
    14. pgvector
    15. Kubernetes
    16. Azure Kubernetes Service
    17. Amazon EKS
    18. Google Kubernetes Engine
    19. Azure Active Directory
    20. Entra ID
    21. AWS IAM
    22. Google Cloud IAM
    23. Okta

    AI recommended 23 alternatives but never named finic-ai/rag-stack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help deploy open-source LLMs with RAG for enterprise data within a VPC?
    you: not recommended
    AI recommended (in order):
    1. AWS SageMaker
    2. SageMaker JumpStart
    3. Amazon Kendra
    4. Hugging Face Inference Endpoints
    5. AWS PrivateLink
    6. VPC Peering
    7. ElasticSearch
    8. OpenSearch Service
    9. Kubernetes
    10. AWS EKS
    11. Google GKE
    12. Azure AKS
    13. Kubeflow
    14. KServe
    15. Chroma
    16. Pinecone
    17. NVIDIA NIM
    18. Triton Inference Server
    19. Milvus
    20. Weaviate
    21. Azure OpenAI Service
    22. Azure AI Search
    23. LocalStack
    24. AWS SageMaker
    25. AWS EKS

    AI recommended 25 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