Suitable for :

• Vector search and embedding APIs for developers
• Semantic search and retrieval‑augmented generation (RAG) platforms
• AI toolkits offering text, image, and multimodal embedding models
• Knowledge‑base and chatbot vendors using embeddings for context
• Enterprise search and document‑similarity SaaS
• MLops platforms for embedding pipelines and stores
• Recommendation engines and personalization services
• SDKs/plugins that simplify embedding integration