RRepoGEO

REPOGEO REPORT · LITE

qdrant/qdrant-client

Default branch master · commit 326adefc · scanned 6/22/2026, 12:51:59 PM

GitHub: 1,313 stars · 236 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)

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

AI VISIBILITY SCORE
67 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 qdrant/qdrant-client, 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 client's unique value proposition in README's opening

    Why:

    CURRENT
    Python Client library for the Qdrant vector search engine.
    COPY-PASTE FIX
    The official Python client library and SDK for the Qdrant vector search engine. It simplifies programmatic interaction with Qdrant, offering type-hinted API methods, both sync and async requests, and unique features like a local mode for development without a running server, and helper methods for common operations.
  • mediumreadme#2
    Add explicit mention of 'managing vector embeddings' to README

    Why:

    COPY-PASTE FIX
    This client is ideal for developers looking to programmatically manage vector embeddings in Python for various search and AI applications.
  • lowtopics#3
    Expand topics to include client-specific keywords

    Why:

    CURRENT
    qdrant, vector-database, vector-search, vector-search-engine
    COPY-PASTE FIX
    qdrant, vector-database, vector-search, vector-search-engine, python-client, sdk, api-client, vector-embeddings

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
1 / 2
50% of queries surface qdrant/qdrant-client
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
4%
Of all named tools, what % are you?
Top rival
Qdrant
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Qdrant · recommended 2×
  2. Pinecone · recommended 2×
  3. Weaviate · recommended 2×
  4. Milvus · recommended 2×
  5. Chroma · recommended 2×
  • CATEGORY QUERY
    What is a good Python client library for interacting with a vector database?
    you: #1
    AI recommended (in order):
    1. qdrant-client ← you
    2. Qdrant
    3. pinecone-client
    4. Pinecone
    5. weaviate-client
    6. Weaviate
    7. milvus
    8. Milvus
    9. Zilliz Cloud
    10. chromadb
    11. Chroma
    12. pgvector
    13. PostgreSQL
    14. psycopg2
    15. asyncpg
    16. elasticsearch
    17. Elasticsearch
    Show full AI answer
  • CATEGORY QUERY
    How can I programmatically manage vector embeddings in Python for search applications?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Faiss
    5. Chroma
    6. Milvus

    AI recommended 6 alternatives but never named qdrant/qdrant-client. 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 qdrant/qdrant-client?
    pass
    AI did not name qdrant/qdrant-client — likely talking about a different project

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

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

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

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qdrant/qdrant-client — 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