Vector Databases
Vector Databases is a solution for efficiently storing, indexing, and searching high-dimensional vector embeddings.
Key Capabilities Used
Features
- Vector indexing
- Approximate nearest neighbors
- Similarity metrics
- Scalable search
- Multi-modal storage
Use Cases
- Semantic search
- Image similarity
- Recommendation systems
- Duplicate detection
- Face recognition
Technologies
- ANN algorithms
- LSH hashing
- HNSW indexing
- Vector quantization
- Distance metrics