Show HN: Django Neural Feed – Hybrid personalized feeds in a single SQL query

Category: library

Tags: django, recommendation-system, pgvector

Score: 6.8/10 (Innovation: 6, Technical: 7, Documentation: 7, Utility: 7)

Django Neural Feed is a Django application that builds personalized content feeds by combining semantic vector embeddings (via pgvector), content freshness, and popularity into a single optimized SQL query. Its interesting because it offers a clean, object-oriented configuration system with asynchronous embedding generation and automatic fallback, making hybrid recommendation feasible directly within a Django project.

Target audience: backend devs

Repository: https://github.com/itsDersty/django-neural-feed · Python · MIT · 7 stars

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