RRepoGEO

REPOGEO REPORT · LITE

cdqa-suite/cdQA

Default branch master · commit 40387925 · scanned 6/3/2026, 5:51:54 AM

GitHub: 617 stars · 191 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 cdqa-suite/cdQA, 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
  • highabout#1
    Update the repository description to include its educational purpose

    Why:

    CURRENT
    ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
    COPY-PASTE FIX
    ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System, kept for educational purposes.
  • mediumreadme#2
    Rephrase the README's opening to immediately state its educational purpose

    Why:

    CURRENT
    An End-To-End Closed Domain Question Answering System. Built on top of the HuggingFace transformers library.
**⛔ [NOT MAINTAINED] This repository is no longer maintained, but is being kept around for educational purposes. If you want a maintained alternative to cdQA check out: https://github.com/deepset-ai/haystack**
    COPY-PASTE FIX
    # cdQA: Closed Domain Question Answering (For Educational Purposes)
**⛔ [NOT MAINTAINED] This repository is no longer maintained, but is being kept around for educational purposes as an End-To-End Closed Domain Question Answering System built on top of the HuggingFace transformers library. For a maintained alternative, check out: https://github.com/deepset-ai/haystack**
  • lowreadme#3
    Add a dedicated 'Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Alternatives / Successors
This project is no longer maintained. For actively developed and maintained alternatives in the closed-domain question answering space, we recommend checking out:
- [Haystack](https://github.com/deepset-ai/haystack)
(Consider adding other relevant alternatives if applicable)

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 cdqa-suite/cdQA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Haystack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Haystack · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. LangChain · recommended 1×
  4. FAISS · recommended 1×
  5. Elasticsearch · recommended 1×
  • CATEGORY QUERY
    How can I build an end-to-end system for question answering within a specific knowledge domain?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. Hugging Face Transformers
    4. FAISS
    5. Elasticsearch
    6. LlamaIndex
    7. Gensim

    AI recommended 7 alternatives but never named cdqa-suite/cdQA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Python libraries for closed-domain question answering using transformer models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Haystack
    3. Farm
    4. AllenNLP
    5. Keras/TensorFlow
    6. PyTorch

    AI recommended 6 alternatives but never named cdqa-suite/cdQA. 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 cdqa-suite/cdQA?
    pass
    AI named cdqa-suite/cdQA explicitly

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

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

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

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cdqa-suite/cdQA — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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