Session
Semantic search with Django, PostgreSQL, & pgvector
Artificial intelligence is now a required functionality in many fields, and we often find ourselves needing to add to existing projects.
The first problem to face is that of having to store the vectors, there are vector databases ready to use, but they also introduce new problems, fortunately pgvector allows us to continue to exploit PostgreSQL for this purpose.
In this talk we will see how to add semantic search functionality to an existing Python-based web project, in particular Django, with data storage on PostgreSQL.
Paolo Melchiorre
PSF fellow · DSF director · Python developer · Django contributor · Django Girls coach · Djangonaut Space navigator · PyCon Italia organizer · Python Italia member · Python Pescara founder · Universit
Pescara, Italy
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