The Technical Foundation of Semantic Processing

Embeddings Ollama leverages advanced language models to transform text into vector representations:

• Local Processing: Uses Ollama to run embedding models on your own infrastructure
• Numerical Representation: Converts text into high-dimensional vectors (typically 384-1536 dimensions)
• Semantic Preservation: Similar concepts cluster together in vector space regardless of exact wording
• n8n Integration: Seamlessly incorporates into workflows via the LangChain module

The integration works by sending text to your Ollama instance, which processes it through embedding models and returns vectors that can be used for similarity comparisons, clustering, and other vector operations—all within your secure environment.