--- title: "chroma vs NeumAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chroma-core-chroma-vs-neumtry-neumai" tools: ["chroma-core-chroma", "neumtry-neumai"] --- # chroma vs NeumAI *GraphCanon updated Aug 21, 2026* ## 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. [chroma](https://www.trychroma.com/) reports 29k GitHub stars, 2.4k forks, and 746 open issues, last pushed Jul 27, 2026. [NeumAI](https://neum.ai) has 867 stars, 50 forks, and 9 open issues, last pushed Jan 15, 2024. Figures are from public GitHub metadata via [chroma's repository](https://github.com/chroma-core/chroma) and [NeumAI's repository](https://github.com/NeumTry/NeumAI). | | [chroma](/tools/chroma-core-chroma.md) | [NeumAI](/tools/neumtry-neumai.md) | | --- | --- | --- | | Tagline | Search infrastructure for AI | Framework to manage creation and synchronization of vector embeddings at large scale | | Stars | 28,898 | 867 | | Forks | 2,409 | 50 | | Open issues | 746 | 9 | | Language | Rust | Python | | Adopt for | Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. | 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 | - | - | | Runtime | - | - | | License | Chroma is released under the Apache 2.0 license. | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chroma](/tools/chroma-core-chroma.md) | [NeumAI](/tools/neumtry-neumai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 948d | | Open issues (now) | 746 | 9 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/chroma-core-chroma/trust.md) | [trust report](/tools/neumtry-neumai/trust.md) | **Typed relationship:** chroma _(related)_ NeumAI 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. ## Decision facts: chroma - **Pricing:** freemium - 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 - **Adopt for:** Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. - **License detail:** Chroma is released under the Apache 2.0 license. ## Decision facts: NeumAI - **Pricing:** freemium - 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. - **Adopt for:** 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 ## Choose when ### 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 ### 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 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 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. ## 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](/tools/chroma-core-chroma/alternatives) and [NeumAI alternatives](/tools/neumtry-neumai/alternatives) ([chroma markdown twin](/tools/chroma-core-chroma/alternatives.md), [NeumAI markdown twin](/tools/neumtry-neumai/alternatives.md)), 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](/compare/chroma-core-chroma-vs-neumtry-neumai.md) 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](/tools/chroma-core-chroma/trust); [NeumAI trust report](/tools/neumtry-neumai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chroma-core-chroma`](/api/graphcanon/graph?tool=chroma-core-chroma) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_