--- title: "milvus vs NeumAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/milvus-io-milvus-vs-neumtry-neumai" tools: ["milvus-io-milvus", "neumtry-neumai"] --- # milvus vs NeumAI *GraphCanon updated Sep 20, 2026* ## Verdict Pick milvus if milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments; 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. [milvus](https://milvus.io) reports 46k GitHub stars, 4.3k forks, and 1.5k open issues, last pushed Sep 18, 2026. [NeumAI](https://neum.ai) has 869 stars, 50 forks, and 9 open issues, last pushed Jan 15, 2024. Figures are from public GitHub metadata via [milvus's repository](https://github.com/milvus-io/milvus) and [NeumAI's repository](https://github.com/NeumTry/NeumAI). | | [milvus](/tools/milvus-io-milvus.md) | [NeumAI](/tools/neumtry-neumai.md) | | --- | --- | --- | | Tagline | Milvus is a high-performance, cloud-native vector database for scalable vector ANN search | Framework to manage creation and synchronization of vector embeddings at large scale | | Stars | 46,152 | 869 | | Forks | 4,257 | 50 | | Open issues | 1,459 | 9 | | Language | Go | Python | | Adopt for | Milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments. | 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 | Milvus is licensed 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._ | | [milvus](/tools/milvus-io-milvus.md) | [NeumAI](/tools/neumtry-neumai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 978d | | Open issues (now) | 1.5k | 9 | | Stars delta | +750 (30d) | +2 (30d) | | Open issues delta | +303 (30d) | 0 (30d) | | Full report | [trust report](/tools/milvus-io-milvus/trust.md) | [trust report](/tools/neumtry-neumai/trust.md) | **Typed relationship:** milvus _(integrates with)_ NeumAI Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two. ## Decision facts: milvus - **Hosting:** self hosted - Milvus is designed to be self-hosted and can be deployed in a cloud-native environment. - **Pricing:** freemium - Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost. - **Requirements:** Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run. - **Adopt for:** Milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments. - **License detail:** Milvus is licensed 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 milvus if… - milvus is primarily Go; NeumAI is Python. - Milvus is designed to be self-hosted and can be deployed in a cloud-native environment. - Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost.. - Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run.. - Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two. - Tags unique to milvus: anns, cloud-native, diskann, distributed. - milvus ships Docker support for self-hosted deployment. - When you need a high-performance vector database that supports scalable approximate nearest neighbor search. ### Choose NeumAI if… - NeumAI is primarily Python; milvus is Go. - 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.. - Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two. - Tags unique to NeumAI: ai, data-engineering, database, embeddings. - When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale. ## When NOT to use milvus - If your project does not require vector similarity search or approximate nearest neighbor search capabilities. - When the project is not cloud-native and does not benefit from cloud-native optimizations. - If the project's requirements are better met by a non-vector database or a different type of database. - When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs. ## 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 milvus and NeumAI? milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. 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 milvus over NeumAI? Choose milvus over NeumAI when milvus is primarily Go; NeumAI is Python; Milvus is designed to be self-hosted and can be deployed in a cloud-native environment; Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost.; Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run.; Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two; Tags unique to milvus: anns, cloud-native, diskann, distributed; milvus ships Docker support for self-hosted deployment; When you need a high-performance vector database that supports scalable approximate nearest neighbor search. ### When should I choose NeumAI over milvus? Choose NeumAI over milvus when NeumAI is primarily Python; milvus is Go; 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.; Neum AI works with vector databases which could include Milvus for similarity search, indicating an integration relationship between the two; Tags unique to NeumAI: ai, data-engineering, database, embeddings; When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale. ### When should I avoid milvus? If your project does not require vector similarity search or approximate nearest neighbor search capabilities. When the project is not cloud-native and does not benefit from cloud-native optimizations. If the project's requirements are better met by a non-vector database or a different type of database. When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs. ### 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 milvus or NeumAI more popular on GitHub? milvus has more GitHub stars (46,152 vs 869). Stars measure visibility, not whether either tool fits your constraints. ### Are milvus and NeumAI open source? Yes - both are open-source projects on GitHub (milvus: Apache-2.0, NeumAI: Apache-2.0). ### Where can I find alternatives to milvus or NeumAI? GraphCanon lists graph-backed alternatives at [milvus alternatives](/tools/milvus-io-milvus/alternatives) and [NeumAI alternatives](/tools/neumtry-neumai/alternatives) ([milvus markdown twin](/tools/milvus-io-milvus/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/milvus-io-milvus-vs-neumtry-neumai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, milvus or NeumAI? milvus: 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 milvus and NeumAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [milvus trust report](/tools/milvus-io-milvus/trust); [NeumAI trust report](/tools/neumtry-neumai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=milvus-io-milvus`](/api/graphcanon/graph?tool=milvus-io-milvus) - 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/_