The dynamic interplay between vector databases and artificial intelligence (AI) has ushered in a transformative era for data management and analysis. Vector databases, designed to store high-dimensional vectors, emerge as a natural choice for LLM-driven applications. Within its framework, a vector database can serve as an external long-term memory knowledge base for a large language model, enabling it to retrieve pertinent information and valuable insights from the vector database in response to user inquiries. This empowers the model to refine its context in alignment with the content and semantics of the data, thereby enhancing its capacity to generate texts that are not only more accurate but also more contextually relevant, drawing upon the reservoir of prior knowledge and experiences.

We are delighted to invite you to join us for this on-demand webinar, featuring Emily Yi, AI Product Director & Chief AI Scientist of RapidsDB. Emily will delve into the world of vector databases and large language models for a fascinating exploration of how these technologies intersect to revolutionize AI and machine learning.

 

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