> ## Documentation Index > Fetch the complete documentation index at: https://docs.siray.ai/llms.txt > Use this file to discover all available pages before exploring further. # Text Embedding 3 Large > OpenAI Text Embedding 3 Large is a high-quality embedding model offering deeper semantic representation for complex text understanding and enterprise-grade retrieval tasks. ### Model Use Cases Ideal for advanced RAG systems, long-form document retrieval, recommendation engines, and knowledge search requiring higher precision and semantic depth. ### Key Features * **High-Dimensional Embeddings:** Captures nuanced semantic relationships, improving recall and precision in large document collections. * **Superior Retrieval Accuracy:** Delivers stronger relevance matching for complex queries and diverse content types. * **Multilingual Semantic Support:** Maintains strong embedding quality across multiple languages for global applications. * **Optimized for Knowledge Systems:** Well suited for enterprise search, knowledge bases, and large-scale AI assistant platforms.