--- title: "azure-search-vector-samples vs voy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/azure-azure-search-vector-samples-vs-tantaraio-voy" tools: ["azure-azure-search-vector-samples", "tantaraio-voy"] --- # azure-search-vector-samples vs voy *GraphCanon updated Aug 23, 2026* ## Verdict Pick azure-search-vector-samples if azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services; pick voy if voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. [azure-search-vector-samples](https://azure.microsoft.com/products/search) reports 911 GitHub stars, 378 forks, and 65 open issues, last pushed Aug 9, 2026. [voy](https://www.npmjs.com/package/voy-search) has 1.1k stars, 41 forks, and 22 open issues, last pushed Sep 20, 2023. Figures are from public GitHub metadata via [azure-search-vector-samples's repository](https://github.com/Azure/azure-search-vector-samples) and [voy's repository](https://github.com/tantaraio/voy). | | [azure-search-vector-samples](/tools/azure-azure-search-vector-samples.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Tagline | Code samples for vector search capabilities in Azure AI Search | A WASM vector similarity search written in Rust | | Stars | 911 | 1,069 | | Forks | 378 | 41 | | Open issues | 65 | 22 | | Language | Jupyter Notebook | Rust | | Adopt for | azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services | Voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [azure-search-vector-samples](/tools/azure-azure-search-vector-samples.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 13d | 1067d | | Open issues (now) | 65 | 22 | | Stars delta | +1 (30d) | +4 (30d) | | Open issues delta | +5 (30d) | 0 (30d) | | Full report | [trust report](/tools/azure-azure-search-vector-samples/trust.md) | [trust report](/tools/tantaraio-voy/trust.md) | ## Decision facts: azure-search-vector-samples - **Adopt for:** azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services ## Decision facts: voy - **Adopt for:** Voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. ## Choose when ### Choose azure-search-vector-samples if… - azure-search-vector-samples is primarily Jupyter Notebook; voy is Rust. - License: azure-search-vector-samples is MIT, voy is Apache-2.0. - Tags unique to azure-search-vector-samples: azure, azurecognitivesearch, embeddings. - When developing applications that require advanced semantic search functionalities on unstructured data within the Microsoft ecosystem, as it integrates seamlessly with Azure resources ### Choose voy if… - voy is primarily Rust; azure-search-vector-samples is Jupyter Notebook. - License: voy is Apache-2.0, azure-search-vector-samples is MIT. - Tags unique to voy: k-d-tree, nearest-neighbor-search, rust, similarity-search. - When you require a Rust implementation of WebAssembly for embedding in web applications or for secure sandboxed execution on the server-side. ## When NOT to use azure-search-vector-samples - When working in non-Microsoft cloud environments due to its tight integration with Azure services - For users who require real-time processing capabilities, as Azure AI Search might not be optimized for low-latency queries compared to specialized vector databases ## When NOT to use voy - If high availability and extensive fault tolerance features are required, as Voy focuses primarily on vector similarity searches rather than system-wide reliability enhancements. - When your project demands integration with existing large-scale SQL database systems, since Voy is specialized for a specific type of search operation. ## Common questions ### What is the difference between azure-search-vector-samples and voy? azure-search-vector-samples: Code samples for vector search capabilities in Azure AI Search. voy: A WASM vector similarity search written in Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose azure-search-vector-samples over voy? Choose azure-search-vector-samples over voy when azure-search-vector-samples is primarily Jupyter Notebook; voy is Rust; License: azure-search-vector-samples is MIT, voy is Apache-2.0; Tags unique to azure-search-vector-samples: azure, azurecognitivesearch, embeddings; When developing applications that require advanced semantic search functionalities on unstructured data within the Microsoft ecosystem, as it integrates seamlessly with Azure resources. ### When should I choose voy over azure-search-vector-samples? Choose voy over azure-search-vector-samples when voy is primarily Rust; azure-search-vector-samples is Jupyter Notebook; License: voy is Apache-2.0, azure-search-vector-samples is MIT; Tags unique to voy: k-d-tree, nearest-neighbor-search, rust, similarity-search; When you require a Rust implementation of WebAssembly for embedding in web applications or for secure sandboxed execution on the server-side. ### When should I avoid azure-search-vector-samples? When working in non-Microsoft cloud environments due to its tight integration with Azure services For users who require real-time processing capabilities, as Azure AI Search might not be optimized for low-latency queries compared to specialized vector databases ### When should I avoid voy? If high availability and extensive fault tolerance features are required, as Voy focuses primarily on vector similarity searches rather than system-wide reliability enhancements. When your project demands integration with existing large-scale SQL database systems, since Voy is specialized for a specific type of search operation. ### Is azure-search-vector-samples or voy more popular on GitHub? voy has more GitHub stars (1,069 vs 911). Stars measure visibility, not whether either tool fits your constraints. ### Are azure-search-vector-samples and voy open source? Yes - both are open-source projects on GitHub (azure-search-vector-samples: MIT, voy: Apache-2.0). ### Where can I find alternatives to azure-search-vector-samples or voy? GraphCanon lists graph-backed alternatives at [azure-search-vector-samples alternatives](/tools/azure-azure-search-vector-samples/alternatives) and [voy alternatives](/tools/tantaraio-voy/alternatives) ([azure-search-vector-samples markdown twin](/tools/azure-azure-search-vector-samples/alternatives.md), [voy markdown twin](/tools/tantaraio-voy/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/azure-azure-search-vector-samples-vs-tantaraio-voy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, azure-search-vector-samples or voy? azure-search-vector-samples: Active. voy: 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 azure-search-vector-samples and voy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [azure-search-vector-samples trust report](/tools/azure-azure-search-vector-samples/trust); [voy trust report](/tools/tantaraio-voy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=azure-azure-search-vector-samples`](/api/graphcanon/graph?tool=azure-azure-search-vector-samples) - 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/_