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Consider https://simonwillison.net/2023/Sep/4/llm-embeddings/ #2

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cmungall opened this issue Sep 5, 2023 · 1 comment
Open

Consider https://simonwillison.net/2023/Sep/4/llm-embeddings/ #2

cmungall opened this issue Sep 5, 2023 · 1 comment

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@cmungall
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cmungall commented Sep 5, 2023

https://simonwillison.net/2023/Sep/4/llm-embeddings/

Note currently we let chromadb handle all things embeddings but the above may provide a better way to decouple the choice of object store (e.g. sqlite, mongodb) vs dedicated vector database
@oneilsh
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oneilsh commented Sep 6, 2023

fyi, the sentence-transformers package contains a few different embedding models, SPECTER in particular might be useful as it was trained on scientific citations, https://www.sbert.net/docs/pretrained_models.html

iQuxLE added a commit to iQuxLE/curate-gpt that referenced this issue Sep 11, 2024
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# This is a combination of 4 commits.
5fabca1 
# This is the 1st commit message:

impl abstractmethod & refactor to new API

# This is the commit message monarch-initiative#2:

refactor dimension function

# This is the commit message monarch-initiative#3:

refactor abstractmethod

# This is the commit message monarch-initiative#4:

refactor abstractmethod 2
iQuxLE added a commit to iQuxLE/curate-gpt that referenced this issue Sep 11, 2024
@iQuxLE
# This is a combination of 6 commits.
fa2c2c7 
# This is the 1st commit message:

impl abstractmethod & refactor to new API

# This is the commit message monarch-initiative#2:

refactor dimension function

# This is the commit message monarch-initiative#3:

refactor abstractmethod

# This is the commit message monarch-initiative#4:

refactor abstractmethod 2

# This is the commit message monarch-initiative#5:

impl abstractmethod & refactor to new API

# This is the commit message monarch-initiative#6:

refactor dimension function
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