RRepoGEO

REPOGEO REPORT · LITE

tensorchord/pgvecto.rs

Default branch main · commit 2b290b34 · scanned 5/10/2026, 5:56:55 PM

GitHub: 2,172 stars · 84 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 tensorchord/pgvecto.rs, 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
    Reposition the VectorChord migration note in README

    Why:

    CURRENT
    The current README structure places the `VectorChord` migration note directly after the initial description of `pgvecto.rs`.
    COPY-PASTE FIX
    Move the entire `VectorChord` migration note block to a new, dedicated section titled 'Migration to VectorChord' or 'Future Development' located further down the README, ensuring the initial paragraphs clearly establish `pgvecto.rs` as a robust, standalone PostgreSQL vector search extension.
  • mediumreadme#2
    Add a concise differentiator summary to README

    Why:

    CURRENT
    The comparison details are in a table further down the README.
    COPY-PASTE FIX
    Insert a new paragraph immediately after the initial project description (and before any migration notes) that summarizes `pgvecto.rs`'s core advantages, for example: 'Unlike `pgvector`, `pgvecto.rs` offers robust filtering with VBASE, supports higher vector dimensions (up to 65535), and leverages dynamic SIMD for maximum performance.'
  • lowtopics#3
    Add 'ann-search' topic

    Why:

    CURRENT
    chatgpt, faiss, gpt, hacktoberfest, llm, nearest-neighbor-search, postgres, rust, vector, vector-database
    COPY-PASTE FIX
    chatgpt, faiss, gpt, hacktoberfest, llm, nearest-neighbor-search, postgres, rust, vector, vector-database, ann-search

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 tensorchord/pgvecto.rs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pgvector/pgvector
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pgvector/pgvector · recommended 1×
  2. lanterndb/lantern · recommended 1×
  3. Neon · recommended 1×
  4. Supabase · recommended 1×
  5. timescale/timescaledb · recommended 1×
  • CATEGORY QUERY
    How to add efficient vector similarity search capabilities directly within my PostgreSQL database?
    you: not recommended
    AI recommended (in order):
    1. pgvector (pgvector/pgvector)
    2. Lantern (lanterndb/lantern)
    3. Neon
    4. Supabase
    5. TimescaleDB (timescale/timescaledb)

    AI recommended 5 alternatives but never named tensorchord/pgvecto.rs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a performant PostgreSQL extension for vector embeddings with robust filtering support.
    you: not recommended
    AI recommended (in order):
    1. pgvector
    2. Lantern
    3. PostgresML
    4. TimescaleDB
    5. ZomboDB

    AI recommended 5 alternatives but never named tensorchord/pgvecto.rs. 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 tensorchord/pgvecto.rs?
    pass
    AI named tensorchord/pgvecto.rs explicitly

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

  • If a team adopts tensorchord/pgvecto.rs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tensorchord/pgvecto.rs 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 tensorchord/pgvecto.rs solve, and who is the primary audience?
    pass
    AI named tensorchord/pgvecto.rs 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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MARKDOWN (README)
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