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Timescale is enhancing its open-source database platform with AI capabilities, focusing on time series database technology built on PostgreSQL. The company has introduced the pgai Vectorizer developer tool, allowing users to create and synchronize embeddings within the database, facilitating generative AI applications. Timescale's vector capabilities were advanced with the pgvectorscale and pgai initiatives launched earlier this year. The integration of time series and vector data is seen as a significant trend, with organizations increasingly leveraging both functionalities. The pgai Vectorizer simplifies embedding management using SQL commands and supports the testing and deployment of AI models. Timescale's pgvectorscale extension aims to improve performance and scalability compared to the existing pgvector extension. Both the pgai Vectorizer and pgvectorscale will remain open-source, contributing to a growing community of users. The company plans to expand its AI strategy beyond Retrieval Augmented Generation (RAG) to include agentic AI for vector database operations.