Comparison
chroma vs pgvector
Verdict
Pick chroma if chroma is an open-source data infrastructure for AI, offering vector, hybrid, and full-text search capabilities. It supports multiple programming languages and provides a simple API for managing collections and querying; pick pgvector if pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1.
Markdown twin · chroma alternatives · pgvector alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | chroma | pgvector |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (7d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- chroma
- Search infrastructure for AI
- pgvector
- Open-source vector similarity search for Postgres
Stars
- chroma
- 29k
- pgvector
- 23k
Forks
- chroma
- 2.5k
- pgvector
- 1.3k
Open issues
- chroma
- 864
- pgvector
- 16
Language
- chroma
- Rust
- pgvector
- C
Adopt for
- chroma
- Chroma is an open-source data infrastructure for AI, offering vector, hybrid, and full-text search capabilities. It supports multiple programming languages and provides a simple API for managing collections and querying.
- pgvector
- pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.
Persona
- chroma
- -
- pgvector
- -
Runtime
- chroma
- -
- pgvector
- -
License
- chroma
- Chroma is licensed under the Apache-2.0 license, which is a permissive free software license.
- pgvector
- Other
Last pushed
- chroma
- Sep 17, 2026
- pgvector
- Sep 10, 2026
Categories
- chroma
- Data & Retrieval, Vector Databases
- pgvector
- Vector Databases
Trust and health
Maintenance
- chroma
- Very active (96%)
- pgvector
- Active (82%)
Days since push
- chroma
- 0d
- pgvector
- 7d
Open issues (now)
- chroma
- 864
- pgvector
- 16
Stars delta
- chroma
- +422 (30d)
- pgvector
- +674 (30d)
Open issues delta
- chroma
- +118 (30d)
- pgvector
- +2 (30d)
OSV dependency advisories
- chroma
- Published findings
- pgvector
- No lockfile (source not queried)
Full report
- chroma
- Trust report
- pgvector
- Trust report
Typed relationship
chroma alternative pgvectorChroma and pgvector both offer vector similarity searches but within different environments: Chroma as an independent search infrastructure versus pgvector integrated into PostgreSQL, making them alternative solutions.
Choose chroma if…
- chroma is primarily Rust; pgvector is C.
- License: chroma is Apache-2.0, pgvector is Other.
- Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available..
- Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database..
- Chroma and pgvector both offer vector similarity searches but within different environments: Chroma as an independent search infrastructure versus pgvector integrated into PostgreSQL, making them alternative solutions.
- Tags unique to chroma: agents, ai, ai-agents, database.
- Also covers Data & Retrieval.
- When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.
When NOT to use chroma
- If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with.
- When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search.
- If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack.
- When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
Choose pgvector if…
- pgvector is primarily C; chroma is Rust.
- License: pgvector is Other, chroma is Apache-2.0.
- Chroma and pgvector both offer vector similarity searches but within different environments: Chroma as an independent search infrastructure versus pgvector integrated into PostgreSQL, making them alternative solutions.
- Tags unique to pgvector: approximate-nearest-neighbor-search, c-language, docker-support, l2-distance.
- When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
When NOT to use pgvector
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches.
- When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions.
- If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system.
- When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (chroma-core/chroma) · observed Sep 20, 2026
- GitHub forks (chroma-core/chroma) · observed Sep 20, 2026
- Last push (chroma-core/chroma) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (pgvector/pgvector) · observed Sep 20, 2026
- GitHub forks (pgvector/pgvector) · observed Sep 20, 2026
- Last push (pgvector/pgvector) · observed Sep 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: chroma 29k · pgvector 23k (synced Sep 20, 2026).
Common questions
- What is the difference between chroma and pgvector?
- chroma: Search infrastructure for AI. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.
- When should I choose chroma over pgvector?
- Choose chroma over pgvector when chroma is primarily Rust; pgvector is C; License: chroma is Apache-2.0, pgvector is Other; Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available.; Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database.; Chroma and pgvector both offer vector similarity searches but within different environments: Chroma as an independent search infrastructure versus pgvector integrated into PostgreSQL, making them alternative solutions; Tags unique to chroma: agents, ai, ai-agents, database; Also covers Data & Retrieval; When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.
- When should I choose pgvector over chroma?
- Choose pgvector over chroma when pgvector is primarily C; chroma is Rust; License: pgvector is Other, chroma is Apache-2.0; Chroma and pgvector both offer vector similarity searches but within different environments: Chroma as an independent search infrastructure versus pgvector integrated into PostgreSQL, making them alternative solutions; Tags unique to pgvector: approximate-nearest-neighbor-search, c-language, docker-support, l2-distance; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
- When should I avoid chroma?
- If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with. When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search. If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack. When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
- When should I avoid pgvector?
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
- Is chroma or pgvector more popular on GitHub?
- chroma has more GitHub stars (29,320 vs 23,049). Stars measure visibility, not whether either tool fits your constraints.
- Are chroma and pgvector open source?
- Yes - both are open-source projects on GitHub (chroma: Apache-2.0, pgvector: Other).
- Where can I find alternatives to chroma or pgvector?
- GraphCanon lists graph-backed alternatives at chroma alternatives and pgvector alternatives (chroma markdown twin, pgvector markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, chroma or pgvector?
- chroma: Very active. pgvector: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for chroma and pgvector?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; pgvector trust report.