Semantic search allows search systems to retrieve documents that match the meaning of a query even if the exact keywords in the query are not present in the document. This flexible retrieval capability is a key part of many Retrieval Augmented Generation (RAG) applications in Generative AI.
RAG applications use semantic search to find relevant documents and then ask a Large Language Model to answer questions based on the documents retrieved.
Semantic search depends on summaries of text docu...
Read it: Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications