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Introduction Large language models (LLMs) are becoming increasingly popular in natural language processing for their superior competence in various applications. Although LLMs demonstrate remarkable capabilities in zero-shot scenarios where a model performs tasks it hasn’t been directly

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In the rapidly evolving landscape of AI frameworks, two prominent players have emerged: LlamaIndex and LangChain. Both offer unique approaches to enhancing the performance and functionality of large language models (LLMs), but they cater to the developer