Embedding / RAG
#1
90
Gemini embedding 004
GoogleShipping Gemini-class embedding endpoint for Vertex AI and Gemini API retrieval stacks.
Best for
GCP-native RAG, multimodal-ish retrieval stacks, and batch embedding.
Embedding / RAGRank #1
text-embedding-4-large
OpenAI
Score 92GitHub proxy 80,566 ★Embedding
Overview
OpenAI’s latest large embedding model tuned for retrieval, deduping, and RAG backends.
Strengths & direction
Enterprise RAG, semantic search, and hybrid vector indexes. Optimized for product teams evaluating practical fit—not lab benchmarks alone.
Pricing
Paid / API
Verify on the vendor site before production commitments.
Capabilities
embeddingsRAG
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