Neural Search
Neural Search is a solution for semantic search and retrieval using neural networks and vector embeddings to understand and match content.
Key Capabilities Used
Features
- Semantic matching
- Cross-modal search
- Vector indexing
- Query understanding
- Relevance ranking
Use Cases
- Document search
- Image retrieval
- Code search
- Product discovery
- Knowledge base search
Technologies
- Neural embeddings
- Transformer models
- ANN algorithms
- Vector quantization
- Cross-encoders