This is the Linux app named BCEmbedding whose latest release can be downloaded as BCEmbeddingsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
BCEmbedding
DESCRIPTION:
BCEmbedding is NetEase Youdao’s open-source embedding and reranker model project for retrieval-augmented generation workflows. It includes an EmbeddingModel for semantic vector generation and a RerankerModel for refining and ordering search results. The project is optimized for bilingual and cross-lingual retrieval, especially across Chinese and English. It is used as a foundation for RAG systems such as QAnything and other Youdao products. The models are designed to work directly without fine-tuning across common business scenarios such as education, medicine, law, finance, literature, FAQs, textbooks, and general conversation. BCEmbedding also provides integrations for popular RAG frameworks, making it easier to add semantic search and reranking to AI applications.
Features
- Bilingual semantic embedding
- Cross-lingual retrieval support
- Reranking for search refinement
- RAG-focused model optimization
- LangChain and LlamaIndex integration
- Long-passage reranking support
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/bcembedding.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.