SemaDB Firebase extension is a bridge between Firestore and SemaDB to enable easy vector search across documents. It syncs document vectors stored in Firestore and provides a vector search endpoint.
Hello Product Hunt Community 👋
Firebase is great but it doesn’t have in-built search, let alone vector search. With a growing number of potential applications, AI models are becoming more important and require vector based search to enable solutions such as semantic search, retrieval-augmented generation and product recommendations.
We are excited to bring an easy-to-use, fully-hosted vector search extension to your Firebase projects.
1. Install with one click from the Firebase Extensions hub.
2. Sync your document vectors to SemaDB automatically.
3. Perform vector search 🔍 with an integrated Firebase cloud function.
The extension never shares your data, just the vector representation and stores the Firestore document ID in SemaDB. You can choose which Firestore and SemaDB collections to sync as well as the vector field.
To get started, you only need to create a collection in SemaDB cloud with the desired vector size and distance metric, then install the Firebase extension 🚀
About Firebase Vector Search on Product Hunt
“Firebase vector search made easy”
Firebase Vector Search launched on Product Hunt on November 26th, 2023 and earned 110 upvotes and 9 comments, placing #14 on the daily leaderboard. SemaDB Firebase extension is a bridge between Firestore and SemaDB to enable easy vector search across documents. It syncs document vectors stored in Firestore and provides a vector search endpoint.
On the analytics side, Firebase Vector Search competes within Developer Tools, Artificial Intelligence, GitHub and Database — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Firebase Vector Search performed against the three products that launched closest to it on the same day.
Who hunted Firebase Vector Search?
Firebase Vector Search was hunted by nuric. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Firebase Vector Search including community comment highlights and product details, visit the product overview.
nuric