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### Title
Autoregressive Search Engines: Generating Substrings as Document Identifiers
### Team Name
Autoregressive Seekers
### Email
nisargganatra13@gmail.com
### Team Member 1 Name
Nisarg Gan…
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### Description
Learned Sparse Vectors claim to combine the benefits of sparse (i.e. lexical) and dense (i.e. vector) representations
From https://en.wikipedia.org/wiki/Learned_sparse_retrieval:…
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## Description:
An accessor method is a public method within a class in OOP that allows retrieval of the value of private variables (the private attributes) that enables their usage elsewhere in the …
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I'm using the **text-embedding-3-large** model and configuring **Euclidean distance** as the similarity metric in **Qdrant**. After indexing my data with these settings, I noticed that some returned d…
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作者您好！最近阅读了贵司的论文“Making Large Language Models A Better Foundation For Dense Retrieval”，论文中写到只使用 MS MARCO 数据去finetune。那么为什么会有四个模型呢？能否介绍一下这四个模型的区别？
hugging face模型链接：https://huggingface.co/BAAI/LLARA-p…
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## No context
1. Transformer Fine-Tuning
- [x] #24
- [ ] Bert (or other one)
2. Choice of pairing
- [ ] query.docs
- [ ] query.doc
- [x] docs.query
- [ ] doc.query
3. …
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In your paper,your dense captioning model can support image retrieval using natural language queries, and can localize these queries in retrieved images. How can I do the retrieval work?
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### Bug Description
I'm running https://github.com/run-llama/llama-hub/blob/main/llama_hub/llama_packs/dense_x_retrieval/dense_x_retrieval.ipynb locally, following along with the notebook. i soon as …
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Hello, I saw that the code used for dense retrieval in the fine-tuning documentation is the following code.
CUDA_VISIBLE_DEVICES=0 torchrun --nproc_per_node 1 -m FlagEmbedding.baai_general_embedd…
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GPU：4*RTX 4090 24G
代码是：
```
from FlagEmbedding import BGEM3FlagModel
model = BGEM3FlagModel('BAAI/bge-m3', use_fp16=True)
sentences_1 = ["What is BGE M3?", "Defination of BM25"]
sentences_…