FlagEmbedding

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FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. And it also can be used in vector databases for LLMs.0
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What is FlagEmbedding?

The BGE (BAAI General Embedding) is an open-source semantic vector model for both Chinese and English languages.

It surpasses other models like OpenAI's text embedding 002 in terms of semantic retrieval accuracy and overall semantic representation capabilities.

The BGE model maintains a minimal vector dimension, resulting in lower usage costs.

The code for the BGE model is available on the FlagOpen and GitHub repositories.

The BGE model is part of the larger FlagEmbedding project by FlagOpen, focusing on embedding technologies and models.


Key Features:

Open-source semantic vector model for Chinese and English languages

Outperforms models like OpenAI's text embedding 002

Minimal vector dimension for lower usage costs


More information on FlagEmbedding

Launched
2023
Pricing Model
Free
Starting Price
Global Rank
Country
Month Visit
<5k
Tech used
FlagEmbedding was manually vetted by our editorial team and was first featured on September 4th 2024.
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