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An article to understand the differences and connections between big models, RAG, function calls, Agents, knowledge bases, vector databases, knowledge graphs, and AGIs
As AI technology continues to evolve, a number of domain-related concepts and acronyms have been appearing in various articles, such as Prompt Engineering, Agent Intelligence, Knowledge Bases, Vector Databases, RAGs, and Knowledge Graphs, etc., but it is also true that these technologies and concepts play a crucial role in the development of the big AI models. These technological elements collaborate with each other in diverse forms to drive AI technology forward. In this article, we will delve deeper into the high level models that are always paired with big models including, but not limited to, the above...- 24.5k
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You can easily get started with the Dify open-source large model development platform, the combination of Agent and RAG to create a proprietary AI intelligent workbench
Dify is an open source platform for building AI applications.Dify combines the Backend as Service and LLMOps concepts. It supports a variety of large-scale language models, such as Claude3, OpenAI, etc., and cooperates with multiple model vendors to ensure that developers can choose the most suitable model according to their needs.Dify greatly reduces the complexity of AI application development by providing powerful dataset management features, visual Prompt orchestration, and application operation tools. Dify I. Dify What is ...- 38.6k
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