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Oliva: Open Source Voice RAG Assistant, Real-time Voice Search and Intelligent Collaboration

Author: LoRA Time: 27 Mar 2025 1051

Oliva is an open source voice-driven RAG (retrieval enhanced generation) assistant that combines Langchain and Superlinked technologies to enable fast and accurate information query through voice commands. It is based on the Qdrant vector database, and through voice-to-text and real-time voice communication technology, it enables users to ask questions in natural language and obtain structured search results. Whether it is enterprise knowledge base, smart home control or data query, Oliva provides efficient solutions.

Oliva.jpg

Main functions:

  • Real-time voice search: Users ask questions through voice, and Oliva returns accurate search results in real time.

  • Multi-agent collaboration: breaks down complex problems into multiple subtasks and is handled by different agents in collaboration.

  • Semantic search: Based on Qdrant vector database, it realizes deep semantic understanding and precise matching.

  • Flexible integration: supports access to various local documents, API data sources and online web pages.

Technical Principles:

  • Voice recognition and synthesis: Use the voice to text service provided by Deepgram to convert voice commands into text, and then output the results through voice synthesis.

  • Vector database: Use Qdrant vector database to achieve efficient semantic search.

  • Langchain Multi-agent architecture: To handle complex problems through multi-agent collaboration, optimize queries and responses.

  • Search-enhanced generation (RAG): Integrates the retrieved information to generate natural language answers.

  • Real-time communication: The integrated Livekit platform supports real-time voice interaction.

Application scenarios:

  • Enterprise knowledge base search: Employees quickly query company internal documents, FAQ and other content through voice to improve work efficiency.

  • Intelligent customer service assistant: As a voice interaction front-end, it supports all-weather intelligent customer service to quickly answer user questions.

  • Smart home control: control home devices through voice commands to improve the smart home experience.

  • Data analysis and report: Users query sales data, market trends, etc. through voice, and systematic voice feedback analysis results.

  • Mobile voice assistant: Integrated into mobile devices, it provides inquiries, reminders, navigation and other functions as a personal assistant.

Project address:

As an open source project, Oliva not only provides powerful voice interaction functions, but also supports multi-agent collaboration, greatly improving user experience and work efficiency. You can visit the GitHub repository to learn more about it and download it.