--- title: "aisearch-openai-rag-audio vs Fun-ASR" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/azure-samples-aisearch-openai-rag-audio-vs-funaudiollm-fun-asr" tools: ["azure-samples-aisearch-openai-rag-audio", "funaudiollm-fun-asr"] --- # aisearch-openai-rag-audio vs Fun-ASR *GraphCanon updated Aug 22, 2026* ## Verdict Pick aisearch-openai-rag-audio if voiceRAG pattern for interactive voice generative AI applications, utilizing Azure and OpenAI, focusing on real-time response with gpt-4o-realtime-preview model; pick Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. [aisearch-openai-rag-audio](https://azure.microsoft.com/products/search) reports 563 GitHub stars, 352 forks, and 46 open issues, last pushed Nov 19, 2025. [Fun-ASR](https://huggingface.co/spaces/FunAudioLLM/Fun-ASR-Nano) has 1.4k stars, 141 forks, and 0 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [aisearch-openai-rag-audio's repository](https://github.com/Azure-Samples/aisearch-openai-rag-audio) and [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR). | | [aisearch-openai-rag-audio](/tools/azure-samples-aisearch-openai-rag-audio.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Tagline | VoiceRAG pattern for interactive voice generative AI using Azure and OpenAI | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks | | Stars | 563 | 1,449 | | Forks | 352 | 141 | | Open issues | 46 | 0 | | Language | Python | C | | Adopt for | VoiceRAG pattern for interactive voice generative AI applications, utilizing Azure and OpenAI, focusing on real-time response with gpt-4o-realtime-preview model. | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Speech & Audio | LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aisearch-openai-rag-audio](/tools/azure-samples-aisearch-openai-rag-audio.md) | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 275d | 6d | | Open issues (now) | 46 | 0 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/azure-samples-aisearch-openai-rag-audio/trust.md) | [trust report](/tools/funaudiollm-fun-asr/trust.md) | ## Decision facts: aisearch-openai-rag-audio - **Adopt for:** VoiceRAG pattern for interactive voice generative AI applications, utilizing Azure and OpenAI, focusing on real-time response with gpt-4o-realtime-preview model. ## Decision facts: Fun-ASR - **Pricing:** freemium - Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms. - **Requirements:** Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0. - **Adopt for:** Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. - **License detail:** Apache-2.0 ## Choose when ### Choose aisearch-openai-rag-audio if… - aisearch-openai-rag-audio is primarily Python; Fun-ASR is C. - License: aisearch-openai-rag-audio is MIT, Fun-ASR is Apache-2.0. - Tags unique to aisearch-openai-rag-audio: ai-azd-templates, azd-templates, azure, azure-ai-search. - Also covers Data & Retrieval. - When you need to integrate real-time voice interactions powered by the gpt-4o-realtime-preview model, which can enhance conversational interfaces. ### Choose Fun-ASR if… - Fun-ASR is primarily C; aisearch-openai-rag-audio is Python. - License: Fun-ASR is Apache-2.0, aisearch-openai-rag-audio is MIT. - Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.. - Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.. - Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr. - Also covers LLM Frameworks. - When you need support for 31 different languages including handling of various dialects and accents. ## When NOT to use aisearch-openai-rag-audio - If your application demands low-latency responses where real-time analysis by the gpt-4o-realtime-preview model might add significant delay, this tool may not be suitable. - Avoid using this tool if your project is based on non-Azure environments as it heavily relies on Azure AI Search and OpenAI in conjunction with VoiceRAG pattern. ## When NOT to use Fun-ASR - Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. - If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ## Common questions ### What is the difference between aisearch-openai-rag-audio and Fun-ASR? aisearch-openai-rag-audio: VoiceRAG pattern for interactive voice generative AI using Azure and OpenAI. Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisearch-openai-rag-audio over Fun-ASR? Choose aisearch-openai-rag-audio over Fun-ASR when aisearch-openai-rag-audio is primarily Python; Fun-ASR is C; License: aisearch-openai-rag-audio is MIT, Fun-ASR is Apache-2.0; Tags unique to aisearch-openai-rag-audio: ai-azd-templates, azd-templates, azure, azure-ai-search; Also covers Data & Retrieval; When you need to integrate real-time voice interactions powered by the gpt-4o-realtime-preview model, which can enhance conversational interfaces. ### When should I choose Fun-ASR over aisearch-openai-rag-audio? Choose Fun-ASR over aisearch-openai-rag-audio when Fun-ASR is primarily C; aisearch-openai-rag-audio is Python; License: Fun-ASR is Apache-2.0, aisearch-openai-rag-audio is MIT; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents. ### When should I avoid aisearch-openai-rag-audio? If your application demands low-latency responses where real-time analysis by the gpt-4o-realtime-preview model might add significant delay, this tool may not be suitable. Avoid using this tool if your project is based on non-Azure environments as it heavily relies on Azure AI Search and OpenAI in conjunction with VoiceRAG pattern. ### When should I avoid Fun-ASR? Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ### Is aisearch-openai-rag-audio or Fun-ASR more popular on GitHub? Fun-ASR has more GitHub stars (1,449 vs 563). Stars measure visibility, not whether either tool fits your constraints. ### Are aisearch-openai-rag-audio and Fun-ASR open source? Yes - both are open-source projects on GitHub (aisearch-openai-rag-audio: MIT, Fun-ASR: Apache-2.0). ### Where can I find alternatives to aisearch-openai-rag-audio or Fun-ASR? GraphCanon lists graph-backed alternatives at [aisearch-openai-rag-audio alternatives](/tools/azure-samples-aisearch-openai-rag-audio/alternatives) and [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) ([aisearch-openai-rag-audio markdown twin](/tools/azure-samples-aisearch-openai-rag-audio/alternatives.md), [Fun-ASR markdown twin](/tools/funaudiollm-fun-asr/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-samples-aisearch-openai-rag-audio-vs-funaudiollm-fun-asr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aisearch-openai-rag-audio or Fun-ASR? aisearch-openai-rag-audio: Slowing. Fun-ASR: 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 aisearch-openai-rag-audio and Fun-ASR? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisearch-openai-rag-audio trust report](/tools/azure-samples-aisearch-openai-rag-audio/trust); [Fun-ASR trust report](/tools/funaudiollm-fun-asr/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=azure-samples-aisearch-openai-rag-audio`](/api/graphcanon/graph?tool=azure-samples-aisearch-openai-rag-audio) - 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/_