Assess
PGVector is an open-source vector store designed for storing and retrieving vector embeddings. Its primary purpose is to store embeddings alongside metadata for subsequent utilization by large language models. Moreover, it can also facilitate semantic search engines operating on textual data. It is built on top of PostgreSQL, which makes it easy to integrate with existing systems and applications. It is designed to be scalable and efficient, and it provides a simple and easy-to-use API for storing and querying vector embeddings. It is a popular choice for machine learning and deep learning projects.