nomic-embed-text

Embedding service uses the nomic-embed-text 768-dimensional model via Ollama for GPU accelerated vector embedding. The nomic-embed-text component is part of Ollama embeddings used for GPU batch embedding processing of document chunks. The Nomic-embed-text embedding model is used by the async embedding queue for batch GPU embedding processing. Semantic Search capability uses nomic-embed-text component for creating table embeddings to improve table ranking in schema selection. TableEmbeddingIndex uses nomic-embed-text for embedding table names and descriptions. RAG Agent employs the nomic-embed-text embedding model for creating document embeddings.