# React Native Firebase

> Contributed to React Native Firebase by implementing the Vector type for Firestore, enabling vector similarity search in React Native apps.

**Developer:** Pelle Fredrikson
**Platform:** iOS & Android
**Status:** Merged
**Category:** Open Source, Firebase, React Native

## Overview

This contribution to the React Native Firebase library implements the Firestore Vector type, enabling developers to use vector similarity search in their React Native applications. Vector similarity search is essential for AI and machine learning applications that need to find similar items based on embeddings.

## The Problem

Firebase Firestore introduced vector support for similarity search, but this feature was not available in React Native Firebase. Developers building AI-powered React Native apps couldn't leverage this powerful feature.

## The Solution

## Key Features

### Firestore Vector type support
Full implementation of the Vector type that matches the Firebase JavaScript SDK API. Developers can now create, store, and retrieve vector embeddings in Firestore from React Native apps.

### Vector similarity search
Enables running vector similarity queries directly from React Native. This allows apps to find similar items based on vector embeddings.

### Cross-platform (iOS & Android)
The implementation works on both iOS and Android platforms, maintaining React Native Firebase's cross-platform promise.

## Use Cases

- Semantic search - Find documents based on meaning, not just keywords
- Recommendation systems - Suggest similar items to users
- AI-powered features - Integrate ML models with Firestore storage
- Image/text similarity - Store and query embeddings from ML models

## Technology Stack

- TypeScript
- React Native
- Firebase
- iOS
- Android

## Links

- **GitHub Issue:** https://github.com/invertase/react-native-firebase/issues/8442
- **Pull Request:** https://github.com/invertase/react-native-firebase/pull/8739

## Images

- Logo: https://pellef.se/assets/firebase-logo.svg

## Related

- [Back to portfolio](https://pellef.se/index.md)
- [All projects](https://pellef.se/llms.txt)