In this tutorial, we introduce an advanced AI agent built using Nebius’ robust ecosystem, particularly the ChatNebius, NebiusEmbeddings, and NebiusRetriever components. The agent utilizes the Llama-3.3-70B-Instruct-fast model to generate high-quality responses, incorporating external functionalities such as Wikipedia search, contextual document retrieval, and safe mathematical computation. By combining structured prompt design with LangChain’s modular framework, this tutorial demonstrates how to build a multi-functional, reasoning-capable AI assistant that is both interactive and extensible. Whether for scientific queries, technological insights, or basic numerical tasks, this agent showcases the potential of Nebius as a platform for building sophisticated AI systems. !pip install -q langchain-nebius…
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