bge large zh

Name: bge large zh
Author: BAAI

by BAAI

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 20231K context≈ 384 words

A specialist in Chinese-language text representation, this model converts text into dense vector embeddings optimized for semantic similarity and retrieval tasks in Chinese. It operates within a tight 512-token window, making it suited for sentence and paragraph-level encoding rather than long documents. As an open-weight model under MIT license, it's straightforward to deploy locally without API dependencies.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Tool Use

bge large zh

by BAAI

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 20231K context≈ 384 words

A specialist in Chinese-language text representation, this model converts text into dense vector embeddings optimized for semantic similarity and retrieval tasks in Chinese. It operates within a tight 512-token window, making it suited for sentence and paragraph-level encoding rather than long documents. As an open-weight model under MIT license, it's straightforward to deploy locally without API dependencies.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Tool Use

Glossary

APIAn interface that allows developers to send requests to and receive responses from an AI model over the internet.Dense VectorA compact numerical representation where most values are non-zero, used to efficiently store and compare the meaning of text.Dense Vector EmbeddingsNumerical representations of text where each word or sentence is converted into a list of numbers that capture its meaning, allowing the model to compare semantic similarity.EmbeddingsNumerical representations of text that capture semantic meaning, allowing the model to measure similarity between different words or phrases.MIT LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.Paragraph-LevelProcessing and understanding text at the scale of full paragraphs rather than individual sentences or words.RetrievalThe process of finding and returning relevant documents or information from a database based on a query.Semantic SimilarityA measure of how closely related two pieces of text are in meaning, regardless of whether they use identical words.Text RepresentationThe process of converting text into a numerical format that a machine learning model can understand and process.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.Vector EmbeddingsNumerical representations of text where each word or sentence becomes a list of numbers that capture its meaning in a way computers can process.

Capabilities

Capabilities

Use Case Fit

Glossary