Empowering AI Applications: Integrating Vector Databases with PostgreSQL
Tuesday, October 22 at 13:30–17:00
- Methodology: building up foundations through problem solving. The attendees will be presented with a problem that can be solved by using a vector representation of a given dataset with and without aidb extension, and then the usage of the different searching strategies. A known example is to develop a recommendation engine where users can do a search using text and image. We would use an equivalent challenge during the training to make it concrete and not just theoretical.
- Vector Utilization: Unveil the critical role and diverse applications of vector data within PostgreSQL.
- Performance Mastery: Benchmark aidb and pgvector’s performance, contrasting it with competing solutions in the industry.
Hardware Requirements:
- Processor: Minimum quad-core processor (Intel i5 or equivalent).
- Memory: At least 8GB RAM.
- Storage: SSD with a minimum of 20GB free space.
- Network: Stable internet connection for downloading necessary software and datasets.
- Software: Pre-installed PostgreSQL v16, aidb v0.2.0, pgvector extension v0.6.0, and necessary development tools.
