When Large Language Models Meet Vector Databases: A Survey

The recent burst in Large Language Models has opened new frontiers in human-like text processing and generation. However, alongside their remarkable growth, Large Language Models have encountered critical challenges including issues of hallucination, bias, real-time knowledge updates, and the high costs of implementation and maintenance in commercial settings. Vector Databases, another increasingly popular tool, offer potential solutions to these challenges. These databases are adept at handling high-dimensional data and are crucial for tasks such as efficient information retrieval and semantic …

bias challenges commercial costs cs.ai cs.cl cs.db cs.lg databases frontiers growth hallucination human human-like implementation knowledge language language models large language large language models maintenance processing real-time survey text updates vector vector databases