{"component":{"type":17,"accent_color":7742708,"components":[{"type":9,"components":[{"type":10,"content":"## [E5-Base-v2](https://openrouter.ai/intfloat/e5-base-v2)\nintfloat · 512 context · $0.005/M tokens"},{"type":10,"content":"The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring, retrieval and clustering."}],"accessory":{"type":2,"style":5,"label":"Open","url":"https://openrouter.ai/intfloat/e5-base-v2"}},{"type":14,"divider":true,"spacing":1},{"type":1,"components":[{"type":2,"style":5,"label":"Compare","url":"https://openrouter.ai/compare/intfloat/e5-base-v2"},{"type":2,"style":5,"label":"API","url":"https://openrouter.ai/intfloat/e5-base-v2/api"}]}]}}