Overview

The Create embedding vectors node is a super node that transforms text segments into numerical vector representations using specialized embedding services. This node serves as a critical component in the knowledge base creation pipeline by converting human-readable text segments into mathematical vectors that enable semantic search, similarity analysis, and vector database operations.

The node provides access to multiple embedding service families to deliver flexible vector generation capabilities:

• OpenAI embedding services for high-quality general-purpose vectors (text-embedding-3-small/large, ada-002)
• Cohere embedding services for multilingual and specialized embedding models
• Mistral AI embedding services for cost-effective and privacy-focused embedding generation
• Ollama embedding services for local, offline embedding generation
• Azure OpenAI services for enterprise-grade embedding deployment

The node accepts segments from segmentation workflows and produces embeddings that can be used directly with knowledge database creation, vector similarity searches, or Real-time knowledge injector workflows. The embedding quality and characteristics are entirely determined by your selected service and model configuration.

Node Specification

Core Properties

Note: This is a super node that depends on selected services for its functionality. The parameters, input ports and output ports below are the base set provided by the node. Selected services will add their specific parameters and may modify available options.

Parameters

Service-specific parameters will be added dynamically based on the selected embedding service.

Input Ports

Output Ports