PostgresML

PostgresML brings machine learning and AI into PostgreSQL. Using the open-source pgml extension it runs embedding generation, LLM inference, vector search, and classic supervised learning (regression, classification, clustering) directly inside the database, so applications index, filter, and rank vectors and generate fact-based, real-time outputs without operating a separate ML or vector stack. It is consumed as SQL over the Postgres wire protocol and through the first-party Korvus SDK (Python, JavaScript, Rust, and C bindings), which unifies the entire RAG pipeline into a single database query. PostgresML Cloud offers managed serverless and dedicated Postgres databases with the extensions pre-installed, and PgCat provides connection pooling, sharding, and failover. There is no REST/HTTP API; authentication is a standard PostgreSQL connection string. Backed by Amplify Partners.

PostgresML is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Machine Learning, Vector Search, and Embeddings.

PostgresML’s developer surface includes documentation, engineering blog, pricing, signup flow, support, authentication, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

24.6/100 emerging ▬ flat Agent 14/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAi MlMachine LearningVector SearchEmbeddingsPostgreSQLRAGLLMDatabase

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 24.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 8.3 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 14/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/postgresml: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: postgresml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/postgresml.png
name: PostgresML
description: PostgresML brings machine learning and AI into PostgreSQL. Using the open-source pgml extension it runs embedding
  generation, LLM inference, vector search, and classic supervised learning (regression, classification, clustering) directly
  inside the database, so applications index, filter, and rank vectors and generate fact-based, real-time outputs without
  operating a separate ML or vector stack. It is consumed as SQL over the Postgres wire protocol and through the first-party
  Korvus SDK (Python, JavaScript, Rust, and C bindings), which unifies the entire RAG pipeline into a single database query.
  PostgresML Cloud offers managed serverless and dedicated Postgres databases with the extensions pre-installed, and PgCat
  provides connection pooling, sharding, and failover. There is no REST/HTTP API; authentication is a standard PostgreSQL
  connection string. Backed by Amplify Partners.
url: https://raw.githubusercontent.com/api-evangelist/postgresml/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Ai Ml
- Machine Learning
- Vector Search
- Embeddings
- PostgreSQL
- RAG
- LLM
- Database
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://postgresml.org
- type: DeveloperPortal
  url: https://postgresml.org/docs
- type: Documentation
  url: https://postgresml.org/docs
- type: Blog
  url: https://postgresml.org/blog
- type: Pricing
  url: https://postgresml.org/pricing
- type: SignUp
  url: https://postgresml.org/signup
- type: TermsOfService
  url: https://postgresml.org/tos
- type: PrivacyPolicy
  url: https://postgresml.org/privacy
- type: Support
  url: https://discord.gg/DmyJP3qJ7U
- type: GitHubOrganization
  url: https://github.com/postgresml
- type: Packages
  url: packages/postgresml-packages.yml
- type: SDKs
  url: packages/postgresml-packages.yml
- type: Authentication
  url: authentication/postgresml-authentication.yml
- type: Conventions
  url: conventions/postgresml-conventions.yml
- type: DomainSecurity
  url: security/postgresml-domain-security.yml
- type: WellKnown
  url: well-known/postgresml-well-known.yml
- type: LLMsTxt
  url: llms/postgresml-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 6
  pass: local-v1