Chatting with ArXiv Research Papers — AI Assistant
Explore the development of an AI research assistant capable of interacting with ArXiv research papers in this 18-minute video. Learn how to create a chatbot using LangChain conversational react agents, OpenAI LLMs, and Pinecone vector database for retrieval. Discover the process of giving LLMs enhanced abilities, such as surfacing relevant information from ArXiv and interacting with an "ArXiv database." Gain insights into the fundamental components of building an AI research assistant, including code implementation, adding new papers to the database, and leveraging various AI technologies. Access provided resources, including GitHub repository, testing notebook, and community platforms, to further your understanding and engagement with this cutting-edge AI application.