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Systems that integrate speech-to-text and text-to-speech processing for conversational AI applications.
Distinguishing note: Focuses on the integration of audio processing pipelines for conversational AI, distinct from general text-based RAG.
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Quivr is a retrieval-augmented generation platform designed to transform raw documents into searchable knowledge bases. It functions as a centralized environment where users can ingest files, index them into vector databases, and interact with language models to receive contextually relevant, data-backed responses. The platform distinguishes itself through an agentic workflow orchestrator that sequences retrieval tasks, tool execution, and model interactions to resolve complex, multi-step queries. This engine is entirely configuration-driven, allowing users to define document ingestion, chunk
Develop voice-enabled chatbots that transcribe user audio questions and return spoken answers by combining text-to-speech and speech-to-text processing.