Comparison
aisearch-openai-rag-audio vs dograh
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.
Markdown twin · aisearch-openai-rag-audio alternatives · dograh alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | aisearch-openai-rag-audio | dograh |
|---|---|---|
| Maintenance | Slowing (275d since push) As of 4d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- aisearch-openai-rag-audio
- VoiceRAG pattern for interactive voice generative AI using Azure and OpenAI
- dograh
- Self-hosted open source voice AI platform
Stars
- aisearch-openai-rag-audio
- 563
- dograh
- 5.1k
Forks
- aisearch-openai-rag-audio
- 352
- dograh
- 1.2k
Open issues
- aisearch-openai-rag-audio
- 46
- dograh
- 20
Language
- aisearch-openai-rag-audio
- Python
- dograh
- Python
Adopt for
- aisearch-openai-rag-audio
- VoiceRAG pattern for interactive voice generative AI applications, utilizing Azure and OpenAI, focusing on real-time response with gpt-4o-realtime-preview model.
- dograh
- Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support
Persona
- aisearch-openai-rag-audio
- -
- dograh
- -
Runtime
- aisearch-openai-rag-audio
- -
- dograh
- -
License
- aisearch-openai-rag-audio
- MIT
- dograh
- BSD-2-Clause
Last pushed
- aisearch-openai-rag-audio
- Nov 19, 2025
- dograh
- Jul 29, 2026
Categories
- aisearch-openai-rag-audio
- Data & Retrieval, Speech & Audio
- dograh
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- aisearch-openai-rag-audio
- Slowing (36%)
- dograh
- Very active (96%)
Days since push
- aisearch-openai-rag-audio
- 275d
- dograh
- 0d
Open issues (now)
- aisearch-openai-rag-audio
- 46
- dograh
- 20
Stars delta
- aisearch-openai-rag-audio
- +3 (30d)
- dograh
- Unknown
Open issues delta
- aisearch-openai-rag-audio
- 0 (30d)
- dograh
- Unknown
Full report
- aisearch-openai-rag-audio
- Trust report
- dograh
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Azure-Samples/aisearch-openai-rag-audio) · observed Aug 22, 2026
- GitHub forks (Azure-Samples/aisearch-openai-rag-audio) · observed Aug 22, 2026
- Last push (Azure-Samples/aisearch-openai-rag-audio) · observed Nov 19, 2025
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (dograh-hq/dograh) · observed Jul 29, 2026
- GitHub forks (dograh-hq/dograh) · observed Jul 29, 2026
- Last push (dograh-hq/dograh) · observed Jul 29, 2026
- License file (BSD-2-Clause) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aisearch-openai-rag-audio 563 · dograh 5.1k (synced Aug 22, 2026).
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 and dograh alternatives (aisearch-openai-rag-audio markdown twin, dograh markdown twin), 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 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; dograh trust report.