I will build an ai voice transcription and rag knowledge assistant

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kei_kyeongeun
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kei_kyeongeun
Kyeongeun A.

About this gig

Turn recorded conversations into searchable, source-backed knowledge.


I build custom voice intelligence services that transcribe audio, clean and structure the transcript, retrieve relevant context with RAG, and generate answers or insights grounded in approved sources.


This service is ideal for meeting notes, interviews, research calls, coaching sessions, customer conversations, and internal knowledge workflows.


Depending on your package, the solution can include:

Audio upload or recording flow

OpenAI Whisper speech-to-text

Transcript cleanup and structured output

Semantic search with embeddings and vector storage

RAG answers with source references

A clean web interface or API integration

Database integration, source code, testing, and deployment guidance


Before development, I confirm your audio formats, languages, data sources, privacy requirements, expected outputs, and success criteria.


Please message me before ordering if your audio contains sensitive data or you need production-scale processing. Hosting, model usage, transcription, and third-party API fees are not included unless agreed in advance.

Get to know Kyeongeun A.

Kyeongeun A.

AI Mobile App Developer

  • FromSouth Korea
  • Member sinceSep 2026
  • Avg. response time2 hours
  • Languages

    Korean, English
I'm the founder of Trace Product Lab, building practical AI-powered mobile and web products from idea to launch. I specialize in image-analysis PoCs and React Native/Expo MVPs, including API integration, Supabase backends, testing, and store-ready delivery. My goal is to turn a clear use case into a focused, usable product quickly, with transparent scope and communication.

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