--- title: "azure-search-vector-samples vs cuvs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/azure-azure-search-vector-samples-vs-nvidia-cuvs" tools: ["azure-azure-search-vector-samples", "nvidia-cuvs"] --- # azure-search-vector-samples vs cuvs *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 cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering. [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. [cuvs](https://docs.rapids.ai/api/cuvs/stable/) has 838 stars, 223 forks, and 692 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [azure-search-vector-samples's repository](https://github.com/Azure/azure-search-vector-samples) and [cuvs's repository](https://github.com/NVIDIA/cuvs). | | [azure-search-vector-samples](/tools/azure-azure-search-vector-samples.md) | [cuvs](/tools/nvidia-cuvs.md) | | --- | --- | --- | | Tagline | Code samples for vector search capabilities in Azure AI Search | A library for vector search and clustering on the GPU | | Stars | 911 | 838 | | Forks | 378 | 223 | | Open issues | 65 | 692 | | Language | Jupyter Notebook | Cuda | | Adopt for | azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services | cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering. | | 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) | [cuvs](/tools/nvidia-cuvs.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 1d | | Open issues (now) | 65 | 692 | | Stars delta | +1 (30d) | +17 (30d) | | Open issues delta | +5 (30d) | +47 (30d) | | Full report | [trust report](/tools/azure-azure-search-vector-samples/trust.md) | [trust report](/tools/nvidia-cuvs/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: cuvs - **Adopt for:** cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering. ## Choose when ### Choose azure-search-vector-samples if… - azure-search-vector-samples is primarily Jupyter Notebook; cuvs is Cuda. - License: azure-search-vector-samples is MIT, cuvs 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 cuvs if… - cuvs is primarily Cuda; azure-search-vector-samples is Jupyter Notebook. - License: cuvs is Apache-2.0, azure-search-vector-samples is MIT. - Tags unique to cuvs: anns, clustering, cuda, gpu. - cuvs ships Docker support for self-hosted deployment. - - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA. ## 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 cuvs - - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains. - - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems. ## Common questions ### What is the difference between azure-search-vector-samples and cuvs? azure-search-vector-samples: Code samples for vector search capabilities in Azure AI Search. cuvs: A library for vector search and clustering on the GPU. See the comparison table for live GitHub stats and shared categories. ### When should I choose azure-search-vector-samples over cuvs? Choose azure-search-vector-samples over cuvs when azure-search-vector-samples is primarily Jupyter Notebook; cuvs is Cuda; License: azure-search-vector-samples is MIT, cuvs 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 cuvs over azure-search-vector-samples? Choose cuvs over azure-search-vector-samples when cuvs is primarily Cuda; azure-search-vector-samples is Jupyter Notebook; License: cuvs is Apache-2.0, azure-search-vector-samples is MIT; Tags unique to cuvs: anns, clustering, cuda, gpu; cuvs ships Docker support for self-hosted deployment; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA. ### 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 cuvs? - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains. - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems. ### Is azure-search-vector-samples or cuvs more popular on GitHub? azure-search-vector-samples has more GitHub stars (911 vs 838). Stars measure visibility, not whether either tool fits your constraints. ### Are azure-search-vector-samples and cuvs open source? Yes - both are open-source projects on GitHub (azure-search-vector-samples: MIT, cuvs: Apache-2.0). ### Where can I find alternatives to azure-search-vector-samples or cuvs? GraphCanon lists graph-backed alternatives at [azure-search-vector-samples alternatives](/tools/azure-azure-search-vector-samples/alternatives) and [cuvs alternatives](/tools/nvidia-cuvs/alternatives) ([azure-search-vector-samples markdown twin](/tools/azure-azure-search-vector-samples/alternatives.md), [cuvs markdown twin](/tools/nvidia-cuvs/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-nvidia-cuvs.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 cuvs? azure-search-vector-samples: Active. cuvs: Very 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 azure-search-vector-samples and cuvs? 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); [cuvs trust report](/tools/nvidia-cuvs/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/_