REPOGEO REPORT · LITE
pgvector/pgvector-python
Default branch master · commit 892180d4 · scanned 6/30/2026, 9:52:58 AM
GitHub: 1,504 stars · 96 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 pgvector/pgvector-python, 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.
- highreadme#1Reposition README H1 to clarify it's a Python client library for pgvector
Why:
CURRENT# pgvector-python pgvector support for Python
COPY-PASTE FIX# pgvector-python: Official Python Client Library for pgvector Official Python client library for the pgvector PostgreSQL extension.
- hightopics#2Add relevant topics to improve categorization
Why:
CURRENT(none)
COPY-PASTE FIXpython, postgresql, pgvector, vector-database, vector-embeddings, similarity-search, machine-learning, ai, django, sqlalchemy, sqlmodel, psycopg3, asyncpg, peewee
- mediumreadme#3Add a 'Comparison' section to the README
Why:
COPY-PASTE FIX## Comparison [Add a section here explaining how pgvector-python compares to other Python libraries for vector search, or to using raw database drivers with pgvector. Emphasize its role as an official, comprehensive client library.]
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.
- pgvector · recommended 2×
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- psycopg2 · recommended 1×
- psycopg3 · recommended 1×
- CATEGORY QUERYHow to add vector similarity search capabilities to my Python application using PostgreSQL?you: not recommendedAI recommended (in order):
- pgvector
- psycopg2
- psycopg3
- SQLAlchemy
- pgvector.sqlalchemy
- LangChain
- LlamaIndex
AI recommended 7 alternatives but never named pgvector/pgvector-python. This is the gap to close.
Show full AI answer
- CATEGORY QUERYPython library for managing and querying vector embeddings in a PostgreSQL database?you: not recommendedAI recommended (in order):
- pgvector
- SQLAlchemy-pgvector
- LangChain
- LlamaIndex
- Qdrant
- Weaviate
AI recommended 6 alternatives but never named pgvector/pgvector-python. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 pgvector/pgvector-python?passAI did not name pgvector/pgvector-python — 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 pgvector/pgvector-python in production, what risks or prerequisites should they evaluate first?passAI named pgvector/pgvector-python 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 pgvector/pgvector-python solve, and who is the primary audience?passAI named pgvector/pgvector-python 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 pgvector/pgvector-python. 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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pgvector/pgvector-python — 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