In 2022, there was significant growth in the field of vector databases with multiple open-source products and cloud-based services emerging. This trend is expected to continue into 2023 as capital markets invest in these technologies. Key predictions for 2023 include differentiation and specialization among vector databases, a move towards a unified query interface, further integration of vector databases with traditional ones, significant cost reduction in vector databases, the emergence of the first serverless vector database, rise of open-source tools for vector databases, early adoption of AI for Database (AI4DB) in vector databases, and the second commercial company emerging from open-source Milvus. These developments indicate a promising year for vector databases, making them more cost-effective and efficient.