Unified Database: Laying the foundation for large language model vertical applications

A diagram showing splitting vector partitions and reallocating vectors in partitions to adapt to changes in data distribution.

Large language models (LLMs) have become a valuable technology in areas such as content creation, language comprehension, and intelligent dialogue, or interactions between people and computer systems. However, these models generate responses based on patterns and rules observed in fixed training data, which can potentially lead them to produce erroneous and even fictitious information. The models can also struggle with real-time knowledge updates. One technique known as retrieval augmented generation (RAG) can organically combine fresh external information



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