RecoFeed

RecoFeed is a tool for creating personalized recommendation feeds, curating items like articles and videos based on user interests. It generates recommendations locally, ensuring data privacy, and supports AI-enhanced content. RecoFeed operates using CloseVector, a cross-platform vector database downloaded directly onto the user's device, where recommendations are generated in real time, locally. This means your users' data stays on their device and isn't sent back to any server. RecoFeed is committed to providing its basic services free of charge, with fees only applying for more advanced features like AI workflows.

## How to Use

RecoFeed uses CloseVector, a local vector database, to generate real-time recommendations on the user's device. Sign up for the closed beta to test it out and visit the documentation to learn more.

## Key Features

- Personalized recommendation feeds - Local recommendation generation for data privacy - AI-enhanced content support - Cross-platform vector database (CloseVector)

## Use Cases

- Curating articles and videos based on user interests - Building recommendation feeds for audiences - Creating personalized content experiences