With the explosive growth of AI large model products and applications, a new AI era has arrived. Vector databases can be used in conjunction with large language models to solve pain points in the implementation of large models, and have become a must for enterprise data processing and application of large models. During the recently held Huawei Connected Conference 2023, Huawei Cloud officially released the GaussDB vector database. The GaussDB vector database is developed based on GaussDB and has the advantages of one-stop deployment and full-stack independent innovation. It ranks first in ANN-Benchmarks and has deep technical strength. At a time when large model technologies, products and applications are emerging one after another, the GaussDB vector database will deeply empower the large model industry and accelerate the implementation of the Pangu large model industry.
The super "external brain" of large models, vector database solves the three major challenges of large models
Vector databases are specifically designed to store and query vector data and can efficiently perform searches and comparison operations in vector space. If the large model is compared to the human brain, then the vector database is like the "external brain" of the large model, which can provide long-term memory for the large model. Currently, vector databases are widely used in scenarios such as large model training, inference, and knowledge base supplementation. They help solve the three major challenges of data real-time, privacy, and context length limitations, and help large model developers and users break through time and space. limitations to accelerate the training and application of large models.
Specifically, in terms of real-time performance, vector databases can meet the demand for data updates in seconds or even milliseconds. Pre-training or fine-tuning of large models requires days or even months.&#x