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Founders Arena Rank #171

pgvector

pgvector/pgvector · Author: @pgvector

View on GitHub

Arena ELO

1335

±18

Total Stars

23.3k

+30.7% w/w

Monthly Traffic

920k/mo

1.1x vs median

Search Demand

240,000/mo

+155% YoY

Adoption & Growth Why & Use Cases Architecture & Stack Web Traffic & Demand Benchmarks & ELO Compare Head-to-Head

12-Month Adoption & Star Velocity +30.7% w/w

Empirical star trajectory for pgvector vs Category Median benchmark. Hover along points to inspect exact monthly stats.

pgvector Category Median

GROWTH VELOCITY

+30.7%

1.8x vs category median

ARENA ELO SCORE

1335

+143 vs category median

WEB VISITS MOMENTUM

920k/mo

1.1x category median

LATENCY EFFICIENCY

14ms

2.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, pgvector holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +30.7% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose pgvector

Open-source vector similarity search extension for PostgreSQL. Native HNSW and IVFFlat indexing.

Verified Real-World Production Workflow

Primary Implementation:

Store embeddings directly alongside relational data in standard PostgreSQL without running dedicated vector SaaS.

Engine Stack & Dependencies:

C extension for PostgreSQL, HNSW, IVFFlat, L2 / Cosine / Inner Product distances.

Target Persona & Role Fit

Database & Backend Engineers

Engineered and benchmarked specifically for Database & Backend Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/pgvector/pgvector

Technical Specification (ASD-STE100)

Open-source vector similarity search extension for PostgreSQL. Native HNSW and IVFFlat indexing.

Architecture: C extension for PostgreSQL, HNSW, IVFFlat, L2 / Cosine / Inner Product distances.

Domain Tags & Keywords

#postgres#vector-search#hnsw#database-extension

Compute Efficiency Profile

P95 EXECUTION LATENCY

14ms

2.7x faster than median

TOKEN EFFICIENCY SAVINGS

-94%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

89%

Arena paired matches

Monthly Documentation & Site Visits

920k/mo

Measured via Traffic Research bypass engine (1.1x category median)

Google Search Keyword Demand

240,000/mo

+155% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

pgvector Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1335

±18 CI

WIN RATE

89%

Head-to-head

WEEKLY SURGE

+30.7%

Adoption velocity

P95 LATENCY

14ms

Execution speed

TOKEN OVERHEAD

-94%

Context saved

Head-to-Head Comparison — pgvector vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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