Real-Time RAG Knowledge Assistant for Meetings and Interviews

[Simonstj]

Title: Feature Request: Real-Time RAG Knowledge Assistant for Meetings and Interviews

Description:
Currently, FluidVoice handles voice interactions beautifully, but there is a significant opportunity to extend its utility into live professional environments like interviews, podcasts, and technical meetings. I would like to propose a feature where the system actively transcribes the ongoing conversation and surfaces real-time suggestions, answers, and talking points by querying a user-defined knowledge base.

Proposed Workflow:

• Passive Listening Mode: FluidVoice monitors the incoming and outgoing audio streams during a call.
• Context Retrieval: As questions are asked or specific topics are raised, it automatically queries a connected knowledge base (e.g., an Obsidian vault, a directory of PDFs, or a local wiki).
• Real-Time Prompts: The UI surfaces brief, scannable bullet points, exact statistics, or suggested answers on the screen, allowing the user to seamlessly integrate the information without breaking conversational flow.

Technical Implementation Ideas:

• Integration Protocols: Implementing support for the Model Context Protocol (MCP) would allow users to easily plug in their existing local environments, seamlessly connecting FluidVoice to an Obsidian workspace or a local Qdrant vector database running in Docker.
• Pre-Call Context Loading: Users could define specific folders, reference files, or database tags to prioritize before the meeting starts, ensuring the suggested talking points are highly relevant to that specific interview or podcast episode.

Key Use Cases:

• Podcasts and Panels: Supplying a host or guest with precise quotes, data points, or interesting counter-arguments relevant to the immediate discussion.
• Online Interviews: Surfacing specific project metrics, portfolio links, or technical definitions from a personal knowledge base the moment an interviewer asks a related question.
• Client Meetings: Instantly recalling prior meeting notes, architectural decisions, or technical documentation without the user having to manually search while screen-sharing or maintaining eye contact.

Let me know if this aligns with the project's roadmap. I think bridging FluidVoice's audio capabilities with personal knowledge management would make it an indispensable real-time copilot.

[capitaharlock]

Maybe start with lookups the user triggers instead of continuous suggestions? Pre-call loading to pick the meeting materials, then a hotkey that searches on the last bit of conversation and shows a short answer with the passage and file or page, so you can check it before saying it out loud. That tells you whether retrieval is good enough live before you have to decide when suggestions should pop up on their own.