https://github.com/atumat/recsystem-at-scale

Scalable recommendation system with personalisation and vector retrieval, ANN indexing and streaming pipelines using FastAPI, Redis, Kafka
https://github.com/atumat/recsystem-at-scale

fastapi kafka postgresql redis

Last synced: about 13 hours ago
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Scalable recommendation system with personalisation and vector retrieval, ANN indexing and streaming pipelines using FastAPI, Redis, Kafka

• Host: GitHub
• URL: https://github.com/atumat/recsystem-at-scale
• Owner: atumat
• License: mit
• Created: 2026-05-24T14:39:30.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2026-05-25T16:55:24.000Z (about 1 month ago)
• Last Synced: 2026-05-25T18:31:23.427Z (about 1 month ago)
• Topics: fastapi, kafka, postgresql, redis
• Homepage:
• Size: 2.93 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# RecSys-at-Scale

A scalable backend recommendation system with ML-powered retrieval and ranking.

## Features

- Recommendation API

- Content-based filtering

- FastAPI backend

## Run

pip install -r requirements.txt

uvicorn app.main:app --reload