2.支持全链路的RAG检索模型微调:包括向量(embedding、图a)、迟交互式模型(colbert、图d)、交互式模型(cross encoder、图c)。 3.支持任意的开源RAG检索模型微调,例如bge(bge-embedding,bge-reranker,bge-m3)模型,bce(bce-embedding,bce-reranker)。 4.基于RAG-Retrieval,在中文场景中,笔者训练出了与同类开源模型...
https://huggingface.co/cross-encoder But there are more models that support cross encoder. The one I used https://huggingface.co/BAAI/bge-reranker-base does not show up in that.但还有更多型号支持交叉编码器。我使用的 https://huggingface.co/BAAI/bge-reranker-base 没有出现在其中。 So also...
Bi-Encoder和Cross-Encoder的准确性和效率比较研究有哪些? Bi-Encoder和Cross-Encoder的准确性和效率比较研究表明,虽然Cross-Encoder通常被认为在准确性上表现更好,但Bi-Encoder模型在处理句子嵌入方面具有优势。具体来说: 效率方面:Bi-Encoder模型因为可以在查询时间之前对所有文档进行预处理而非常高效。这意味着它们能够...
Experiment:https://github.com/semi-technologies/research/blob/main/cross-encoders/test-cross-encoder.ipynb https://weaviate.io/blog/2022/08/Using-Cross-Encoders-as-reranker-in-multistage-vector-search.html Chaining cross-encoders as reranker behind the data retrieval step in Weaviate. Pretrained...
I then send the initial results to a re-ranker function which works as below: fromFlagEmbeddingimportFlagReranker cross_encoder = FlagReranker("BAAI/bge-reranker-v2-m3", use_fp16=True)defrerank_results(primary_results:list, search_query:str):""" Reranks the primary search results based ...
Advanced RAG with Cross Encoder Reranker Performance: High accuracy with only one material mistake. Context and Reference Handling: Maintained correct context and accuracy throughout the document. Response Time: Slower, averaging around 30-45 seconds per response. ...
🎯 Based on SoTA Cross-encoders and other models: "How good are Zero-shot rerankers?" - look at the reference section. Model NameDescriptionSizeNotes ms-marco-TinyBERT-L-2-v2 Default model ~4MB Model card ms-marco-MiniLM-L-12-v2 Best Cross-encoder reranker ~34MB Model card rank-T5...
ForRerankerModel: fromsentence_transformersimportCrossEncoder# init reranker modelmodel=CrossEncoder('maidalun1020/bce-reranker-base_v1',max_length=512)# calculate scores of sentence pairsscores=model.predict(sentence_pairs) Embedding and Reranker Integrations for RAG Frameworks ...
"How good are Zero-shot rerankers?" - look at the reference section. Model NameDescriptionSizeNotes ms-marco-TinyBERT-L-2-v2Default model~4MBModel card ms-marco-MiniLM-L-12-v2-~34MBModel card rank-T5-flanBest non cross-encoder reranker~110MBModel card ...