-
## Summary and motivation
Elasticsearch offers multiple retrieval features including
- approximate dense vector retrieval with embedding inference in Python or in Elasticsearch
- exact dense vect…
-
CentOS系统Linux,使用conda去装了下openjdk-11-jdk
使用conda install conda-forge/label/gcc7::openjdk去安装openjdk
java -version: openjdk version "11.0.1" 2018-10-16 LTS
OpenJDK Runtime Environment Zulu11.2+3 (buil…
-
Hi, I was wondering whether is would make sence to support models which, in addition to dense vectors, also support sparse and colbert. For example, [BGE-M3](https://huggingface.co/BAAI/bge-m3) works …
-
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…
-
its good to support dense retrieval from multiple faiss index shard.
this would be more friendly for machine with limited RAM. (and further support GPU retrieval)
-
### Bug Description
getting error when we are using chromadb embeddings for second time ,
while entering a query (user input question) to generate response:
Query id 40b9d01f-b211-413d-b3d4-a799e…
-
- [x] Dense retrieval 구현하기
- [x] 클래스 구현하기
- [x] Gold 방법으로 구현
- [x] train 함수 구현
- [x] embedding matrix 저장
- [x] k 를 늘려가며 실제 question 에 맞는 context 를 wiki 문서에서 잘 가져오는지 test
> 문제 1
t…
-
Hello, thanks for your framework.
I'm trying to Training & Evaluating a Dense Retrieval Model on MS MARCO following your instructions in [https://openmatch.readthedocs.io/en/latest/dr-msmarco-passage…
-
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…
-
### Title: [Curriculum Learning for Dense Retrieval Distillation](https://dblp.org/pid/279/6463.html)
### year: 2022
### Venue: SIGIR
### Main Problem
This research aims to improve the performan…