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Hi...I am researching the feasibility of developing an interactive AI avatar system with the following requirements:

- Store interview responses in a structured format

- Allow admins to search and retrieve stored interview data later

- Provide a natural, conversational interview experience

1. What's the best architecture for integrating HeyGen avatars with a data storage system?

2. Should I use LangChain with RAG (Retrieval-Augmented Generation) for the data management layer, or are there better alternatives?

3. How do others handle the workflow of: Avatar asks question → User responds → System stores response → Admin can later query the data?

I'm considering a setup where the HeyGen avatar handles the conversational interface, while a separate backend manages question flow, stores responses in a database, and provides admin search capabilities through RAG or similar technology.

This would be for structured interviews (like customer feedback, research interviews, or intake processes) where the data needs to be analyzable later.

Has anyone built something similar? What tech stack worked well for you? Any gotchas or recommendations?

Interactive Interview Avatar with Data Storage/Retrieval

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