A lightweight, embedded vector database that simplifies working with AI embeddings. It provides an easy way to add semantic search to your applications without complex infrastructure.
Perfect for beginners who want to:
- Add vector search to existing applications
- Store and retrieve AI embeddings
- Build prototype search systems quickly
Getting Started Tip: Try their in-memory example first to understand vector operations.
Difficulty: ⭐⭐ (Intermediate Beginner)
- Simpler vector database implementation
- Basic Python knowledge sufficient
- Clear documentation and examples
- Lightweight and straightforward setup
