RRepoGEO

REPOGEO REPORT · LITE

FalkorDB/QueryWeaver

Default branch staging · commit fd1dbe10 · scanned 5/25/2026, 10:18:32 PM

GitHub: 1,015 stars · 131 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 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 that QueryWeaver generates SQL for *any* database, not just Cypher for FalkorDB

    Why:

    CURRENT
    QueryWeaver is an **open-source Text2SQL** tool that converts plain-English questions into SQL using **graph-powered schema understanding**.
    COPY-PASTE FIX
    QueryWeaver is an **open-source Text2SQL** tool that converts plain-English questions into **standard SQL** for **any relational database** using **graph-powered schema understanding**.
  • mediumtopics#2
    Add more specific topics to highlight 'graph-powered schema understanding' and general Text2SQL

    Why:

    CURRENT
    falkordb, semantic-layer, text2sql
    COPY-PASTE FIX
    text2sql, natural-language-to-sql, llm-powered, schema-understanding, database-querying, ai-sql-generation, semantic-layer
  • lowreadme#3
    Add a 'Why QueryWeaver?' or 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Why QueryWeaver?
    - **Graph-powered Schema Understanding:** Go beyond basic schema analysis for highly accurate SQL.
    - **Standard SQL Output:** Generates clean, executable SQL for any relational database.
    - **Natural Language Interface:** Query your data in plain English, no SQL expertise needed.
    - **Open-Source & Extensible:** Customize and integrate into your existing data stack.

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
SQLFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SQLFlow · recommended 2×
  2. OpenAI API · recommended 1×
  3. LlamaIndex · recommended 1×
  4. LangChain · recommended 1×
  5. Microsoft Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    How can I enable users to query a database using natural language, not SQL?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LlamaIndex
    3. LangChain
    4. Microsoft Azure OpenAI Service
    5. Google Cloud Vertex AI
    6. Hugging Face Transformers
    7. SQLFlow
    8. Dataherald
    9. Seek AI

    AI recommended 9 alternatives but never named FalkorDB/QueryWeaver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source text-to-SQL tool that leverages schema understanding.
    you: not recommended
    AI recommended (in order):
    1. SQLFlow
    2. Rasa
    3. sqlglot
    4. sqlparse
    5. Spider
    6. Hugging Face
    7. T5
    8. BART
    9. Seq2SQL
    10. TypeSQL

    AI recommended 10 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

Drop this badge into the README of FalkorDB/QueryWeaver. 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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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