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jina-ai
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late-chunking
Code for explaining and evaluating late chunking (chunked pooling)
Apache License 2.0
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RuntimeError: [enforce fail at alloc_cpu.cpp:114] data. DefaultCPUAllocator: not enough memory: you tried to allocate 33507323568 bytes.
#21
Godly-GM
closed
1 hour ago
1
Implementation of long late chunking
#20
Fleandre
closed
1 hour ago
3
fix truction; style and docs changes
#19
guenthermi
closed
1 month ago
0
Error when running testing
#18
tyu008
closed
1 month ago
5
Late chunking gets bad result when use Vietnamese Embedding Model
#17
kiendn1
closed
1 month ago
1
Added extra experiments - mainly around macro chunking
#16
dannyjameswilliams
closed
1 month ago
1
Allow loading weights from local
#15
violenil
closed
1 month ago
0
feat add trivia qa eval
#14
guenthermi
closed
1 month ago
0
Feat more arguments
#13
guenthermi
closed
1 month ago
0
feat: support nomic ai model
#12
guenthermi
closed
1 month ago
0
feat: add semantic chunking to eval script; add wrapper for minilm
#11
guenthermi
closed
1 month ago
0
Request for attaching an Open Source license to this repository.
#10
suryagram
closed
1 month ago
1
feat: add needle retrieval
#9
guenthermi
closed
1 month ago
0
test: add test to compare with late chunking in the API
#8
guenthermi
closed
1 month ago
0
feat: add support for v3 model
#7
guenthermi
closed
1 month ago
0
Update dependencies + pyproject
#6
violenil
closed
1 month ago
1
feat: add chunking by sentences; refactor code; remove semantic chunking for now
#5
guenthermi
closed
1 month ago
0
Add tests for chunking module
#4
violenil
closed
1 month ago
0
How to impleplement late-chunking with jina api?
#3
rickythink
closed
1 month ago
3
How to implement late chunking when my context limit is more than 8192 tokens?
#2
venkatana-kore
opened
2 months ago
2
I have got a bug just:AttributeError: 'BertModel' object has no attribute 'encode',where is the problem?
#1
NoobPythoner
closed
1 month ago
1