voice-chat-pdf

Engage in voice chat with documents using OpenAI's real-time API.

CommonProductProgrammingOpenAIVoice Interaction

voice-chat-pdf is a sample built on the LlamaIndex project using Next.js. It allows users to interact with PDF documents via voice using a simple Retrieval-Augmented Generation (RAG) system. This project requires an OpenAI API key to access the real-time API and generate embedding vectors for document interactions. It demonstrates how advanced machine learning technologies can be applied to enhance the efficiency and convenience of document interaction.

Engage in voice interactions using OpenAI's real-time API.
Supports manual mode and Voice Activity Detection (VAD) mode.
Allows free interruption of the model's responses.
Supports interaction with your own documents.
Built on LlamaIndexTS
providing TypeScript features.
Requires setting up an OpenAI API key within the project.
Start the development server using command line tools.

\The primary target audience consists of developers and tech enthusiasts interested in utilizing the latest AI technologies to enhance document processing and interaction. This product is suitable for those looking to integrate voice interaction features into their applications
as well as researchers interested in natural language processing and machine learning.\

Developers can use it to create a chatbot that interacts with user documents through voice.
Tech enthusiasts can leverage this project to learn how to integrate speech recognition and natural language processing technologies into their own projects.
Researchers can explore the potential applications of real-time voice interaction in document analysis and processing through this project.

First
install the project dependencies.
Next
generate the embedding vectors for the documents located in the ./data directory.
Then

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Monthly Visits

488643166

Bounce Rate

37.28%

Page per Visit

5.7

Visit Duration

00:06:37

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