Embedding / RAG
#1
92
text-embedding-4-large
OpenAIOpenAI’s latest large embedding model tuned for retrieval, deduping, and RAG backends.
Best for
Enterprise RAG, semantic search, and hybrid vector indexes.
Embedding / RAGRank #2
Gemini embedding 004
Score 90GitHub proxy 79,430 ★Embedding
Overview
Shipping Gemini-class embedding endpoint for Vertex AI and Gemini API retrieval stacks.
Strengths & direction
GCP-native RAG, multimodal-ish retrieval stacks, and batch embedding. Optimized for product teams evaluating practical fit—not lab benchmarks alone.
Pricing
Paid / API
Verify on the vendor site before production commitments.
Capabilities
embeddingsRAGmultimodal
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