Open-Source AI · Vector database

Chroma vs pgvector

Chroma vs pgvector compared for 2026 — features, license, ease of use, performance and which one to choose. The simplest embedding DB for prototyping vs Vector search inside PostgreSQL.

Updated regularly · curated by olud.ai

Choose Chroma for developers prototyping RAG quickly. Choose pgvector for teams already running PostgreSQL.

Chroma vs pgvector at a glance

SpecChromapgvector
CategoryVector databaseVector database
TypeEmbedding databasePostgres extension
LicenseApache-2.0PostgreSQL
Runs locallySelf-hostedSelf-hosted
Primary languagePythonC
Ease of useBeginnerBeginner
Best fordevelopers prototyping RAG quicklyteams already running PostgreSQL
GitHub stars28.8k—

Feature comparison

FeatureChromapgvector
Self-hostable✓✓
Managed cloud✗✓
Metadata filtering✓✓
Hybrid search✗✓
Horizontal scaling✗✓
REST API✓✗

How Chroma and pgvector score

🤝 Too close to call — Chroma and pgvector land within a hair (4.6 vs 4.8 / 5). Pick on fit, not on score.
CriterionChromapgvector
Popularity3.5n/a
Maintenance5.0n/a
Ease of use5.05.0
Privacy4.54.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Chroma

Embedding database · Apache-2.0

Chroma is a lightweight, developer-friendly embedding database that runs in-process, ideal for prototyping RAG apps with minimal setup.

  • Runs in-process, zero infrastructure to start
  • Dead-simple Python API
  • Great for prototypes and small apps
See the Chroma page →

pgvector

Postgres extension · PostgreSQL

pgvector is a PostgreSQL extension that adds vector similarity search to your existing database, so you can do RAG without a separate vector store.

  • No new infrastructure — it is just Postgres
  • Keep vectors next to relational data
  • Mature, well-supported ecosystem
Visit pgvector →

Key differences

Chroma is embedding database, while pgvector is postgres extension. Their licenses differ (Apache-2.0 vs PostgreSQL), which matters if you ship a commercial product. In short, Chroma fits developers prototyping RAG quickly, and pgvector fits teams already running PostgreSQL.

Which should you choose?

Choose Chroma for developers prototyping RAG quickly. Choose pgvector for teams already running PostgreSQL.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Chroma or pgvector easier to use?

Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.

Are Chroma and pgvector free?

Chroma is free and open source (Apache-2.0), and pgvector is free and open source (PostgreSQL). Neither charges for the core software.

Can I run Chroma and pgvector locally?

Chroma: self-hosted · pgvector: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Chroma vs pgvector — which should I pick in 2026?

Choose Chroma for developers prototyping RAG quickly. Choose pgvector for teams already running PostgreSQL.

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