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SCX AI · OpenAI-Compatible Engines

E5 Mistral 7B (embeddings)

Embedding Embeddings

Embedding model producing 4096-dim vectors for semantic search and retrieval. 32k context.

Specifications

Parameters
7B
Architecture
Embedding (4096-dim)
Context window
32K tokens

Best suited for

Turning text into vectors for semantic search, retrieval-augmented generation (RAG), and clustering — not for generating text.

Semantic search RAG retrieval Similarity & clustering

Pricing (per million tokens)

Free

No per-token charge at present. Providers can change pricing — this page tracks the published rate.

Model id: E5-Mistral-7B-Instruct

The platform default — used automatically when no other provider is connected.

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