Adii2202/RAG-AI-Voice-assistant-
Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.
Leverages Faster Whisper for speech-to-text transcription and Mistral LLM for query processing, with Qdrant vector database backend for efficient similarity search across large document collections. Implements conversation memory buffers for context retention and bidirectional voice conversion (speech-to-text and text-to-speech) to create a fully voice-native interface. Orchestrates these components through a modular architecture that separates speech recognition, retrieval, LLM inference, and audio synthesis stages.
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Python
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Last pushed
Mar 20, 2024
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