Creating a realtime RAG voice agent
Blog post from Cerebrium
The tutorial explains how to create a personalized AI tutor using various technologies, including Cerebrium, Daily, Deepgram, ElevenLabs, and OpenAI, to enable interactive educational experiences. It involves downloading and processing Andrej Karpathy's YouTube videos to create a responsive AI model that can answer questions in Karpathy's voice, utilizing tools like pytube for video downloading, Deepgram for transcription, and Pinecone as a vector database for storing embeddings. The process includes setting up a Cerebrium project, using Langchain for creating retrieval-augmented generation (RAG) applications, and implementing voice cloning via ElevenLabs to enhance realism. The application is designed for scalability and customization, allowing users to balance latency, cost, and accuracy, with deployment facilitated through Cerebrium's platform. The project reflects on the educational potential of AI-driven tools, emphasizing innovation and accessibility in learning, inspired by the belief in education as a transformative force.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 11 | 9,074 | 1,640 | 224 | +53% |
| Vector Search | 10 | 2,268 | 422 | 128 | +30% |
| RAG | 7 | 2,105 | 333 | 83 | +124% |
| Voice AI | 5 | 3,462 | 242 | 43 | +46% |
| Secrets Management | 3 | 2,152 | 360 | 101 | +18% |
| Real-time | 1 | 5,735 | 1,391 | 247 | -9% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.