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jina-embeddings-v3 is a multilingual multi-task text embedding model designed for a variety of NLP applications. Based on the [Jina-XLM-RoBERTa architecture](https://huggingface.co/jinaai/xlm-roberta-…
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Currently the `dense_vector` field is a single-valued field. This is a limitation that forces a document to be repeated or split up into multiple documents when it's necessary to have multiple embeddi…
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Hi :)
Regarding the msmarco passages dataset that gets downloaded from the hugginface (https://huggingface.co/datasets/Tevatron/msmarco-passage/tree/main).
How was this dataset created? as it d…
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[paper](https://arxiv.org/abs/2304.09542) [code](https://github.com/sunnweiwei/RankGPT)
Outstanding Paper Award of EMNLP2023
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- LLM이 주목받고 있는 요즘, IR에 사용하려는 시도가 많다. 하지만, 대부분 LLM의 생성 능력을 이용…
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Are the results in [here](https://www.sbert.net/docs/pretrained-models/msmarco-v5.html), full ranking or reranking results?
If it is full ranking, how is it done?
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Hello, thanks for your amazing work, I really want to reproduce it. However， I met an issue when I run the code, could you help me?
command line:
python make_train_from_ranking.py --ranking-file /…
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I'm trying to follow the tutorial in README with the most recent pgvecto.rs, however I ran into this issue:
```sql
CREATE INDEX ON documents USING vectors (embedding svector_dot_ops);
-- ERROR:…
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I want to rank a set of passages with a particular query and find the most similar one. How can i do that using matchzoo.
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## Using `recall` in combination with YQL
Using [recall](https://docs.vespa.ai/en/reference/query-api-reference.html#recall)
>This is identical to [filter](https://docs.vespa.ai/en/reference/que…
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IndexError Traceback (most recent call last)
Cell In[19], line 6
3 chat_tokenizer = …