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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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请问一下~
dense embedding可以结合向量库的搜索引擎,例如milvus、faiss进行使用。
那么,sparse embedding有没有什么可以推荐使用的搜索引擎或者快速检索方式和思路?
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## 실험 목적
Retrieval하는 방법을 바꿔가며 성능을 비교해보자
## 실험 방법
retrieval_type을 __dense__, __elastic__, __both__(rerank입니다), __sequential__ 로 바꿔가며 실험 진행
(이번 실험은 validation에 있는 240개의 query에 대해서만 성능 분석을 진행…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Is there a way in the llama index to retrieve and show all the accurate information to a…
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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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### Description
Search request supports [docvalue_fields](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-fields.html#docvalue-fields) parameter that is currently not supported…
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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_…
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- [ ] [Title: "Self-Retrieval: An LLM-Driven Information Retrieval Architecture for the Era of Large Language Models"](https://arxiv.org/html/2403.00801v1)
# Self-Retrieval: An LLM-Driven Information…
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Hi, Thanks for a great paper!
However, I haven't found the code for the paper of "A Personalized Dense Retrieval Framework for
Unified Information Access", I see only a preprocessing folder.
Coul…
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Hi,
I want to evaluate ColBERT on BEIR but I couldn't find any example related to it.
You mentioned in the paper that it involves dense retrieval and re-ranking with ColBERT. Could you please …