--- title: "aisearch-openai-rag-audio vs dograh" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/azure-samples-aisearch-openai-rag-audio-vs-dograh-hq-dograh" tools: ["azure-samples-aisearch-openai-rag-audio", "dograh-hq-dograh"] --- # aisearch-openai-rag-audio vs dograh *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 dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support. [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. [dograh](https://app.dograh.com) has 5.1k stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [aisearch-openai-rag-audio's repository](https://github.com/Azure-Samples/aisearch-openai-rag-audio) and [dograh's repository](https://github.com/dograh-hq/dograh). | | [aisearch-openai-rag-audio](/tools/azure-samples-aisearch-openai-rag-audio.md) | [dograh](/tools/dograh-hq-dograh.md) | | --- | --- | --- | | Tagline | VoiceRAG pattern for interactive voice generative AI using Azure and OpenAI | Self-hosted open source voice AI platform | | Stars | 563 | 5,064 | | Forks | 352 | 1,185 | | Open issues | 46 | 20 | | Language | Python | Python | | 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. | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | | Persona | - | - | | Runtime | - | - | | License | MIT | BSD-2-Clause | | Categories | Data & Retrieval, Speech & Audio | Inference & Serving, 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) | [dograh](/tools/dograh-hq-dograh.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 275d | 0d | | Open issues (now) | 46 | 20 | | 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/dograh-hq-dograh/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: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Choose when ### Choose aisearch-openai-rag-audio if… - License: aisearch-openai-rag-audio is MIT, dograh is BSD-2-Clause. - 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 dograh if… - License: dograh is BSD-2-Clause, aisearch-openai-rag-audio is MIT. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ## 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 dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## Common questions ### What is the difference between aisearch-openai-rag-audio and dograh? aisearch-openai-rag-audio: VoiceRAG pattern for interactive voice generative AI using Azure and OpenAI. dograh: Self-hosted open source voice AI platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose aisearch-openai-rag-audio over dograh? Choose aisearch-openai-rag-audio over dograh when License: aisearch-openai-rag-audio is MIT, dograh is BSD-2-Clause; 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 dograh over aisearch-openai-rag-audio? Choose dograh over aisearch-openai-rag-audio when License: dograh is BSD-2-Clause, aisearch-openai-rag-audio is MIT; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### 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 dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### Is aisearch-openai-rag-audio or dograh more popular on GitHub? dograh has more GitHub stars (5,064 vs 563). Stars measure visibility, not whether either tool fits your constraints. ### Are aisearch-openai-rag-audio and dograh open source? Yes - both are open-source projects on GitHub (aisearch-openai-rag-audio: MIT, dograh: BSD-2-Clause). ### Where can I find alternatives to aisearch-openai-rag-audio or dograh? GraphCanon lists graph-backed alternatives at [aisearch-openai-rag-audio alternatives](/tools/azure-samples-aisearch-openai-rag-audio/alternatives) and [dograh alternatives](/tools/dograh-hq-dograh/alternatives) ([aisearch-openai-rag-audio markdown twin](/tools/azure-samples-aisearch-openai-rag-audio/alternatives.md), [dograh markdown twin](/tools/dograh-hq-dograh/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-dograh-hq-dograh.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 dograh? aisearch-openai-rag-audio: Slowing. dograh: 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 dograh? 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); [dograh trust report](/tools/dograh-hq-dograh/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/_