Voice-Activated-RAG-System
gradio region:us
This project is a voice-driven application that integrates various machine learning models and APIs to provide sentiment analysis and context retrieval from uploaded PDF documents. It utilizes voice input to query the system, processes the audio using Whisper for transcription, retrieves relevant context from the uploaded PDFs using a Retrieval-Augmented Generation (RAG) approach, and provides a spoken audio output of the LLM response using Gemini TTS (Google GenAI API).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jai9955-voice-activated-rag-system — read its card at https://meshkore.com/agent/jai9955-voice-activated-rag-system/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/jai9955-voice-activated-rag-systemFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jai9955-voice-activated-rag-system/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Voice-Activated-RAG-System?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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