Comparison
chroma vs NeumAI
Verdict
Pick chroma if chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance; pick NeumAI if neumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open.
Markdown twin · chroma alternatives · NeumAI alternatives
GraphCanon updated today
Trust & integrity
| Signal | chroma | NeumAI |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (948d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- NeumAI
- Framework to manage creation and synchronization of vector embeddings at large scale
Stars
- chroma
- 29k
- NeumAI
- 867
Forks
- chroma
- 2.4k
- NeumAI
- 50
Open issues
- chroma
- 746
- NeumAI
- 9
Language
- chroma
- Rust
- NeumAI
- Python
Adopt for
- chroma
- Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance.
- NeumAI
- NeumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open
Persona
- chroma
- -
- NeumAI
- -
Runtime
- chroma
- -
- NeumAI
- -
License
- chroma
- Chroma is released under the Apache 2.0 license.
- NeumAI
- Apache-2.0
Last pushed
- chroma
- Jul 27, 2026
- NeumAI
- Jan 15, 2024
Categories
- chroma
- Data & Retrieval, Vector Databases
- NeumAI
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- chroma
- Very active (96%)
- NeumAI
- Dormant (18%)
Days since push
- chroma
- 0d
- NeumAI
- 948d
Open issues (now)
- chroma
- 746
- NeumAI
- 9
Stars delta
- chroma
- Unknown
- NeumAI
- +3 (30d)
Open issues delta
- chroma
- Unknown
- NeumAI
- 0 (30d)
OSV dependency advisories
- chroma
- Published findings
- NeumAI
- No lockfile (source not queried)
Full report
- chroma
- Trust report
- NeumAI
- Trust report
Typed relationship
Choose chroma if…
- chroma is primarily Rust; NeumAI is Python.
- Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits..
- Requirements: Min 1 GB RAM.
- Chroma provides search infrastructure for AI and Neum AI also focuses on organizing data for large language models, making them related in the domain of context-aware systems.
- Tags unique to chroma: agents, ai-agents, full-text-search, hybrid-search.
- chroma ships Docker support for self-hosted deployment.
- - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services
When NOT to use chroma
- - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized.
- - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet
- - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in.
Choose NeumAI if…
- NeumAI is primarily Python; chroma is Rust.
- Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options..
- Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting..
- Chroma provides search infrastructure for AI and Neum AI also focuses on organizing data for large language models, making them related in the domain of context-aware systems.
- Tags unique to NeumAI: ai, data-engineering, embeddings, etl.
- When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.
When NOT to use NeumAI
- When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks.
- If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
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 Jul 28, 2026
- GitHub forks (chroma-core/chroma) · observed Jul 28, 2026
- Last push (chroma-core/chroma) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NeumTry/NeumAI) · observed Aug 21, 2026
- GitHub forks (NeumTry/NeumAI) · observed Aug 21, 2026
- Last push (NeumTry/NeumAI) · observed Jan 15, 2024
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chroma 29k · NeumAI 867 (synced Jul 28, 2026).
Common questions
- What is the difference between chroma and NeumAI?
- chroma: Search infrastructure for AI. NeumAI: Framework to manage creation and synchronization of vector embeddings at large scale. See the comparison table for live GitHub stats and shared categories.
- When should I choose chroma over NeumAI?
- Choose chroma over NeumAI when chroma is primarily Rust; NeumAI is Python; Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.; Requirements: Min 1 GB RAM; Chroma provides search infrastructure for AI and Neum AI also focuses on organizing data for large language models, making them related in the domain of context-aware systems; Tags unique to chroma: agents, ai-agents, full-text-search, hybrid-search; chroma ships Docker support for self-hosted deployment; - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services.
- When should I choose NeumAI over chroma?
- Choose NeumAI over chroma when NeumAI is primarily Python; chroma is Rust; Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options.; Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting.; Chroma provides search infrastructure for AI and Neum AI also focuses on organizing data for large language models, making them related in the domain of context-aware systems; Tags unique to NeumAI: ai, data-engineering, embeddings, etl; When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.
- When should I avoid chroma?
- - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in.
- When should I avoid NeumAI?
- When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks. If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
- Is chroma or NeumAI more popular on GitHub?
- chroma has more GitHub stars (28,898 vs 867). Stars measure visibility, not whether either tool fits your constraints.
- Are chroma and NeumAI open source?
- Yes - both are open-source projects on GitHub (chroma: Apache-2.0, NeumAI: Apache-2.0).
- Where can I find alternatives to chroma or NeumAI?
- GraphCanon lists graph-backed alternatives at chroma alternatives and NeumAI alternatives (chroma markdown twin, NeumAI 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 NeumAI?
- chroma: Very active. NeumAI: Dormant. 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 NeumAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; NeumAI trust report.