RRepoGEO

REPOGEO REPORT · LITE

weaviate/elysia

Default branch main · commit 0f363c54 · scanned 5/16/2026, 1:16:35 PM

GitHub: 1,921 stars · 264 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 weaviate/elysia, 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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    python, ai, llm, agent-framework, rag, weaviate, decision-agent, tool-use, agentic-platform
  • highreadme#2
    Strengthen the README's opening statement to clearly position Elysia

    Why:

    CURRENT
    Elysia is an agentic platform designed to use tools in a decision tree. A decision agent decides which tools to use dynamically based on its environment and context.
    COPY-PASTE FIX
    Elysia is a Python package and backend for building agentic platforms. It enables dynamic decision agents to select and use tools, including pre-built tools for data retrieval from Weaviate clusters, based on their environment and context.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://elysia.weaviate.io/

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 weaviate/elysia
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scikit-learn/scikit-learn
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scikit-learn/scikit-learn · recommended 1×
  2. tensorflow/tensorflow · recommended 1×
  3. keras-team/keras · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. Farama-Foundation/Gymnasium · recommended 1×
  • CATEGORY QUERY
    How to build a dynamic decision agent using a Python-based platform?
    you: not recommended
    AI recommended (in order):
    1. scikit-learn (scikit-learn/scikit-learn)
    2. TensorFlow (tensorflow/tensorflow)
    3. Keras (keras-team/keras)
    4. PyTorch (pytorch/pytorch)
    5. Gymnasium (Farama-Foundation/Gymnasium)
    6. Stable Baselines3 (DLR-RM/stable-baselines3)
    7. Pandas (pandas-dev/pandas)
    8. NumPy (numpy/numpy)
    9. Drools (kiegroup/drools)
    10. JPype (jpype-project/jpype)
    11. requests (psf/requests)
    12. SymPy (sympy/sympy)

    AI recommended 12 alternatives but never named weaviate/elysia. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python library helps agents dynamically select tools for data retrieval?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Functions
    5. CrewAI
    6. AutoGPT

    AI recommended 6 alternatives but never named weaviate/elysia. 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 weaviate/elysia?
    pass
    AI named weaviate/elysia explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of weaviate/elysia. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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weaviate/elysia — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
weaviate/elysia — RepoGEO report