Semantic Search

Semantic Search capability uses nomic-embed-text component for creating table embeddings to improve table ranking in schema selection. Semantic Search stores table embeddings in Qdrant vector database for fast similarity search and ranking. QuestionRouter uses Semantic search capability to handle unstructured textual queries via QdrantService. DataLens performs semantic search querying Qdrant vectors. Semantic Search using nomic-embed-text relies on Qdrant vector database for vector storage and search. Question Router routes queries to Semantic Search using Qdrant vectors