Use a toolkit to enhance search and retrieval capabilities in applications with advanced embedding models.
From the README
pip install -U FlagEmbedding
- 09/15/2023: The technical report of BGE has been released
- 09/15/2023: The massive training data of BGE has been released
- 09/12/2023: New models:
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeRetrieval and Retrieval-augmented LLMs
FlagEmbedding has 12.1k stars on GitHub. It has been forked 909 times. FlagEmbedding is written mainly in Python. It has been in active development since 2023. FlagEmbedding is available under the MIT license. Its main topics are embeddings, information-retrieval, llm, retrieval-augmented-generation.
What is FlagEmbedding?
Retrieval and Retrieval-augmented LLMs
Is FlagEmbedding open source?
FlagEmbedding is an open-source project. It is released under the MIT license.
Is FlagEmbedding free?
Yes. FlagEmbedding is free and open source — you can use, modify and self-host it.
What license does FlagEmbedding use?
FlagEmbedding is available under the MIT license.
What language is FlagEmbedding written in?
FlagEmbedding is written mainly in Python.
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