Skip to main content

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

Tools​