> ## 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 Small > OpenAI Text Embedding 3 Small is a lightweight, cost-efficient embedding model designed for fast semantic understanding, similarity search, and text clustering at scale. ### Model Use Cases Best for semantic search, document similarity, intent classification, and lightweight RAG pipelines where low latency and cost efficiency are critical. ### Key Features * **Fast Embedding Generation:** Optimized for low latency, enabling real-time semantic search and ranking in high-traffic applications. * **Cost-Efficient at Scale:** Designed for large-volume embedding workloads with minimal cost while maintaining strong semantic accuracy. * **Semantic Similarity Accuracy:** Produces reliable vector representations for clustering, deduplication, and relevance scoring. * **RAG-Ready Output:** Works seamlessly with vector databases for retrieval-augmented generation pipelines.