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Show HN: Firebase Vector Search Demo with OpenAI Embedding
- yashwanth2804 2y agoI've created a project that demonstrates how to implement vector search functionality using Firebase Firestore and OpenAI's text embeddings. This could be useful for developers looking to add semantic similarity search to their applications without the need for complex infrastructure. Key features: - Generate text embeddings using OpenAI's API - Store embeddings in Firebase Firestore - Perform vector similarity search using Firestore's vector search capabilities - Sample data for Amazon product reviews and general topics The project includes scripts for adding sample data, creating the necessary composite index, and querying the vector database. It's a great starting point for anyone interested in exploring vector search capabilities in their Firebase projects. GitHub repo: https://github.com/yashwanth2804/firebase-vector-openai-embedding https://github.com/yashwanth2804/firebase-vector-openai-embe... I'd love to hear your thoughts and feedback!