Neural Search

Definitions

1. Search based on learned vector representations and semantic similarity rather than only keyword overlap. Neural search is widely used to improve relevance when users phrase queries differently from the exact wording in documents.

   In plain English: Search that uses learned semantic representations instead of just exact keywords.

   Example: "The docs portal adopted neural search so engineers could find answers with conceptual queries instead of guessing literal function names."

Related Terms

• Vector Database
• Semantic Search
• Dense Retrieval
• AI Search
• AI Vector
• Embedding Dimension
• Embedding Layer
• Generative Search
• RAG Embedding
• RAG Search
• Token Embedding