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Models / Embeddings / BGE-Large-EN v1.5 API

BGE-Large-EN v1.5 API

Embeddings

BAAI v1.5 large maps text to dense vectors for retrieval, classification, clustering, semantic search, and LLM databases.

Read our Docs
API Usage
How to use BGE-Large-EN v1.5Model CardPrompting BGE-Large-EN v1.5Applications & Use CasesHow to use BGE-Large-EN v1.5

To use this embeddings model, please follow the instructions from our Docs.

BGE-Large-EN v1.5 API Usage

Endpoint

BAAI/bge-large-en-v1.5
Curl
Python
Typescript

RUN INFERENCE

JSON RESPONSE

RUN INFERENCE

JSON RESPONSE

RUN INFERENCE

JSON RESPONSE

Model Provider:

BAAI

Type:

Embeddings

Variant:

Large

Parameters:

335M

Deployment:

✔ Serverless

✔️ On-Demand Dedicated

Quantization

Context length:

512

Pricing:

$0.02

Check pricing

Run in playground

Deploy model

Deploy model

Quickstart docs

Quickstart docs

How to use BGE-Large-EN v1.5

Model details

Prompting BGE-Large-EN v1.5

Applications & Use Cases

How to use BGE-Large-EN v1.5

Looking for production scale? Deploy on a dedicated endpoint

Deploy BGE-Large-EN v1.5 on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.

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