DeepInfra has announced an integration with LlamaIndex, enabling users to chat with books using advanced language models and embeddings. The integration utilizes the Meta Llama 3 70B language model and the MiniLM embedding model to interact with texts like Fyodor Dostoevsky's "Crime and Punishment" sourced from the Project Gutenberg library. The process involves setting up a Python environment, obtaining a DeepInfra API key, and installing necessary packages such as llama-index and its DeepInfra extensions. Users can implement a script to retrieve and process book texts, create a vector store index, and initiate a chat engine to engage with the book's content. This innovation allows for interactive exploration of literature, showcasing the capabilities of DeepInfra and LlamaIndex as tools for scalable AI applications.