Using Postgres to locate the best coffee near you!
Wednesday, October 23 at 16:20–17:10
Discover how combining PostgreSQL with PostGIS and vector data brings natural language queries to life, allowing you to ask, "Where's the nearest coffee shop?" and get precise results. In this session, we will first explain what vector data is and how it enhances the capabilities of PostgreSQL for handling geographical information. We'll then explore how to effectively integrate PostGIS with vector data to support natural language processing directly in your database.
We will walk through setting up your PostgreSQL database to handle these types of queries, demonstrate the process of storing geographical data, and show how to create queries that understand and respond to natural language inputs. I'll also share a practical example: using this technology to find the best coffee locations nearby. This talk will equip you with the knowledge to implement similar features in your own GIS applications, making them more intuitive and user-friendly.
