Tag: MCP
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Two Protocols, Two Futures: OpenAI’s ACP vs. Anthropic’s MCP
Imagine this: It’s a Tuesday evening, and you’re buried in work. Your AI assistant notices your flight to New York got canceled due to a storm. Without missing a beat, it scans alternatives, books a new one on your credit card, coordinates a rideshare to the airport, and even reschedules your hotel— all while you…
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Bridging the Gap: RAG, OpenAI API, Anthropic MCP, and Ollama LLMs
Retrieval-Augmented Generation (RAG) has quickly evolved into one of the most promising methods to enhance the accuracy, reliability, and usefulness of large language models (LLMs). With advancements like OpenAI’s File Search Tool and Anthropic’s Model Context Protocol (MCP), RAG has seen further enhancements, offering practical and robust methods for delivering contextually accurate, up-to-date responses. However,…