A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge

1. 1Understand the limitations of traditional database management systems in handling high-dimensional vector data
2. 2Explore the role of vector databases in large language models and modern AI systems
3. 3Investigate approximate nearest neighbor search and other underlying technologies for vector databases
4. 4Evaluate the challenges and open research questions in vector database storage and retrieval techniques

Data scientists and AI engineers benefit from understanding vector databases to improve the efficiency of their AI systems, and software engineers can apply this knowledge to develop more effective database management systems

💡 Vector databases are essential for handling high-dimensional vector data, but require further research to improve their storage and retrieval techniques

💡 Vector databases are key to efficient AI systems, but face storage and retrieval challenges