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FlowLLM is a robust framework designed to streamline the development of services leveraging Large Language Models (LLMs), embeddings, and vector stores. It encapsulates these powerful AI capabilities into easily deployable HTTP and Model Context Protocol (MCP) services, making it ideal for building AI conversation assistants, Retrieval-Augmented Generation (RAG) applications, and complex workflow services. This tool also facilitates seamless integration with MCP-compatible client applications, providing a versatile and efficient solution for diverse AI development needs.