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AVAILABLE ON AIX · EMBEDDINGS

BGE Large EN v1.5 API

Run BGE Large EN v1.5 through one production-ready, OpenAI-compatible endpoint. General-purpose retrieval embeddings.

Model familyBAAI
TypeEmbeddings
Context512
Price $0.01 / 1M tokens

When to choose BGE Large EN v1.5

BGE Large EN v1.5 is a strong choice when your product needs general-purpose retrieval embeddings. AIx gives it the same authentication, usage ledger and production API contract as the rest of your model stack.

CORE STRENGTHS
  • Strong semantic retrieval
  • Compact vector search workflows
  • Reliable English embeddings
BEST-FIT WORKLOADS
  • RAG retrieval
  • Semantic search
  • Recommendation systems

Usage

Call it with the same request shape as any model — just set "model": "BAAI/bge-large-en-v1.5".

curl https://api.aix.theaimart.co/v1/embeddings \
  -H "Authorization: Bearer $AIX_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "model": "BAAI/bge-large-en-v1.5", "input": "vectorize me" }'

See the Embeddings API reference for every parameter and the full response shape. Prices are live from GET /v1/models; if it changed since this page was built, the figure above updates in your browser.

Why run BGE Large EN v1.5 on AIx?

One API contractUse the OpenAI-compatible client and request shape already in your stack.
Measured billingSettle each request against recorded usage from one prepaid balance.
Production controlsKeep key scopes, spend caps, usage history and model access in one control plane.

BGE Large EN v1.5 API FAQ

How do I use the BGE Large EN v1.5 API?

Create an AIx key, point an OpenAI-compatible client at https://api.aix.theaimart.co/v1 and send BAAI/bge-large-en-v1.5 as the model id.

What is BGE Large EN v1.5 best for?

BGE Large EN v1.5 is best suited to RAG retrieval, Semantic search, Recommendation systems. General-purpose retrieval embeddings.

How much does BGE Large EN v1.5 cost on AIx?

The current reference price is $0.01 / 1M tokens. The live AIx catalog is the source of truth and the price on this page updates in the browser.

Last updated July 18, 2026

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