MODELS

BAAI/bge-base-en-v1.5

by BAAI

modellead-sourcehugging-face-popular-modelssource:github.comembedding-modelfeature-extractionbgebge-v1.5englishretrievalsearchraghugging-faceflagembedding

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Overview

English BGE v1.5 base embedding model for feature extraction, search, and RAG retrieval workflows.

Details

BAAI/bge-base-en-v1.5 is listed on Hugging Face for feature extraction. BAAI’s BGE documentation lists it under BGE-v1.5 as an English model with 109M parameters and a 438 MB size, and provides FlagModel inference usage. The official FlagEmbedding repository describes BGE as a one-stop retrieval toolkit for search and RAG, with quick-start examples that load BAAI/bge-base-en-v1.5 via FlagAutoModel.from_finetuned.

When to Use

Use for English embedding or feature-extraction tasks where the BGE v1.5 base model size is appropriate. Use in search or RAG retrieval pipelines built around the FlagEmbedding toolkit. Evaluate when you need a documented BGE-v1.5 English model with published parameter and file-size metadata.

Getting Started

Open the Hugging Face model page at https://huggingface.co/BAAI/bge-base-en-v1.5 to review the model entry.
Read the BGE v1/v1.5 documentation for the listed model metadata and FlagModel inference example.
Install or review the official FlagEmbedding repository and follow its quick start that loads BAAI/bge-base-en-v1.5 via FlagAutoModel.from_finetuned.
Run a small embedding or retrieval test before using it in a production search or RAG workflow.

Key Features

•BGE-v1.5 English base embedding model
•109M parameters according to the BGE documentation
•438 MB model size according to the BGE documentation
•Supported by FlagEmbedding examples and quick-start loading via FlagAutoModel.from_finetuned
•Hugging Face task listing indicates feature extraction

Capabilities

•feature-extraction
•embeddings
•retrieval
•search
•RAG

Last updated Aug 3, 2026