Table Structure
| Feature | Vector Database | hvhv |
|---|---|---|
| Data Type | Unstructured data (text, images, audio) with vector embeddings | hvhv |
| Data Organization | Vectors in multi-dimensional space | bjhbjh |
| Indexing | Similarity-based indexing | |
| Search | Semantic search (finds similar data points) | hgchgvh |
| Strengths | Efficient similarity search, handling high-dimensional data, real-time applications | |
| Weaknesses | Limited support for structured data, newer technology | |
| Use Cases | Machine learning, recommendation systems, anomaly detection |
