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  4. pgvector
pgvector logo

pgvector

Vector Databases

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

Open-source PostgreSQL extension for vector similarity search, embeddings storage, and production RAG retrieval inside Postgres.

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

Typesense logo
Typesense

Vector Databases· typesense.org

Open source

Open-source search and vector-search infrastructure for fast product search, semantic retrieval, and RAG-backed application experiences.

Why recommended

Same category

Keep evaluating pgvector

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh pgvector against the alternatives

  • pgvector alternativesEvery vector databases product developers evaluate in place of pgvector.
  • pgvector vs TypesenseSide-by-side pricing, API surface, and adoption evidence.
  • pgvector vs VectorChordSide-by-side pricing, API surface, and adoption evidence.
  • pgvector vs QdrantSide-by-side pricing, API surface, and adoption evidence.

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

API available with docs/profile signal

View source
Inferred

Adoption proof

Public saves/reviews indicate evaluator interest

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graphfreeParent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

Events / Tours

pgvector developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

51

Public signals · ★ 23,120

Trust Score

47

observed

Category Rank

#7

Vector Databases · public signals

Protocols

API, SDK

Agent-readable metadata

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub23,120

68% confidence

Protocol support

APISDK
Adoption over time
Last 8 weeks+401 GitHub stars in 30d · cohort private · trust 47

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating pgvector.

Claim your tool

Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About pgvector

Open-source PostgreSQL extension for vector similarity search, embeddings storage, and production RAG retrieval inside Postgres.

Resources
GitHub repositoryGITHUB

Public source repository used for verification.

README documentationDOCS

Installation and usage documentation.

Public links
Visit WebsiteDocumentationGitHub2 Resources
GitHub Stats

23,120

Stars

1,329

Forks

17

Issues

Quick Info
PricingOpen source
Open sourceYes
API availableYes
26,582
973
Open source
Why recommended

Same category

VectorChord logo
VectorChord

Vector Databases· docs.vectorchord.ai

Open source

VectorChord is a scalable Postgres vector search extension and successor to pgvecto.rs, aimed at fast disk-friendly embedding retrieval for AI systems.

Why recommended

Highly similar description

1,800
72
Open source
Why recommended

Highly similar description

Qdrant logo
Qdrant

Vector Databases· qdrant.tech

Open source

Open-source vector database for semantic search, filtering, and RAG.

Why recommended

Same category

34,693
2,686
Open source
Why recommended

Same category

ParadeDB logo
ParadeDB

Vector Databases· paradedb.com

Open source

Postgres-native search and analytics system combining full-text search, vector retrieval, and aggregations without a second search stack.

Why recommended

Same category

9,273
457
Open source
Why recommended

Same category

  • pgvector vs ParadeDBSide-by-side pricing, API surface, and adoption evidence.
  • Check the adoption evidence

    • Vector Databases developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
    • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
    • Best Vector DatabasesShortlist guide for this category, with the tradeoffs written out.
    • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.

    Own pgvector? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Agent-readable protocol evidence raises trust and commercial readiness.

    Benchmark proof

    Benchmark proof pending

    Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Attach benchmark evidence

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Claim this tool to see who is evaluating it
    Next best action

    Claim pgvector before competitors use this profile as proof.

    Connect usage events, resolve developer identities, and see which accounts are evaluating pgvector.

    Claim this tool to see who is evaluating it

    Resolve developer activity into companies, teams, and enterprise accounts.

    Talk to sales

    Retention cohorts

    Track first API call through 7/30/90-day retention and expansion.

    Talk to sales

    Competitor overlap

    Find developers evaluating alternatives and switching between tools.

    Talk to sales

    Category benchmark

    Compare activation, retention, and growth against your market.

    Talk to sales

    Recommended actions

    Prioritized DevRel, product, and sales plays based on live adoption signals.

    Talk to sales