RRepoGEO

REPOGEO REPORT · LITE

FalkorDB/QueryWeaver

Default branch staging · commit 65c2c956 · scanned 6/24/2026, 10:21:32 PM

GitHub: 1,040 stars · 133 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 FalkorDB/QueryWeaver, 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
    Clarify SQL generation target and scope in README intro

    Why:

    CURRENT
    QueryWeaver is an **open-source Text2SQL** tool that converts plain-English questions into SQL using **graph-powered schema understanding**. It helps you ask databases natural-language questions and returns SQL and results.
    COPY-PASTE FIX
    QueryWeaver is an **open-source Text2SQL** tool that converts plain-English questions into **standard SQL** for *any* relational database, leveraging **graph-powered schema understanding**. It helps you ask databases natural-language questions and returns SQL and results.
  • hightopics#2
    Add broader, more specific Text2SQL and database-related topics

    Why:

    CURRENT
    falkordb, semantic-layer, text2sql
    COPY-PASTE FIX
    text2sql, natural-language-to-sql, nl2sql, database-query-tool, data-analytics, semantic-layer, graph-powered, falkordb
  • mediumreadme#3
    Add a sentence to the README intro distinguishing QueryWeaver as a deployable tool

    Why:

    COPY-PASTE FIX
    Unlike generic LLM APIs or academic models, QueryWeaver is a complete, deployable open-source solution designed for production environments.

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 FalkorDB/QueryWeaver
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. GPT-3.5 · recommended 1×
  3. GPT-4 · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. T5 · recommended 1×
  • CATEGORY QUERY
    How can I convert natural language questions into SQL queries for my database?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-3.5
    3. GPT-4
    4. Hugging Face Transformers
    5. T5
    6. BART
    7. LangChain
    8. LlamaIndex
    9. Llama 2
    10. Mistral
    11. SQLCoder
    12. Picard
    13. RAT-SQL
    14. SmBoP
    15. Dataherald

    AI recommended 15 alternatives but never named FalkorDB/QueryWeaver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools use graph understanding for natural language to SQL conversion?
    you: not recommended
    AI recommended (in order):
    1. Spider
    2. GraPPa (Graph-based Parallel Parsing for Text-to-SQL)
    3. RAT-SQL (Relation-Aware Transformer for Text-to-SQL)
    4. Picard (Parsing Incrementally for Complex and Robust Text-to-SQL)
    5. SQLova

    AI recommended 5 alternatives but never named FalkorDB/QueryWeaver. 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 FalkorDB/QueryWeaver?
    pass
    AI named FalkorDB/QueryWeaver explicitly

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

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

    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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FalkorDB/QueryWeaver — 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