Vector Embeddings for Query-Document Relevance

This free online tool calculates cosine similarity between vector embeddings of queries and documents. Results are displayed as matrix where every query is compared to every document.

The tool uses Google's Vertex AI models for embedding, RETRIEVAL_DOCUMENT and RETRIEVAL_QUERY tasks. Cosine similarity is multiplied by 100 for easy viewing. Higher number means higher relevance.

To start set the Vertex AI API key, then add at least one piece of content and at least one keyword.