TableEmbeddingIndex

TableEmbeddingIndex uses the nomic-embed-text model to compute semantic embeddings for table names and schemas. TableEmbeddingIndex stores and queries table embeddings in a Qdrant collection for semantic search. Multi-Stage Text-to-SQL Architecture realizes the TableEmbeddingIndex use case for semantic candidate table search. TableEmbeddingIndex uses nomic-embed-text for embedding table names and descriptions.