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Dive into the fundamentals of retrieval-augmented generation (RAG) to unlock the potential of domain-specific, real-time data for generative AI.
Explore how RAG empowers businesses with domain-specific, real-time data and learn the process of setting up workflows for building AI assistants and chatbots.
Start with internal use cases that have no data access or IP concerns. Example data includes support docs and employee-experience HR tools.
Follow a step-by-step guide to building a generative AI chatbot connected to an enterprise knowledge base with retrieval-augmented generation.
Set up an internal test dataset to assess accuracy and latency requirements.
Transfer the workload to a production environment and adjust scaling according to usage. Evaluate accuracy and human input to optimize.
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