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saving and loading embedding from Chroma #7175
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I feel the question makes a lot of sense. would you expect something like this?
|
I tested it, need to pass a parameter( |
yes,I have a similar question that when I load vectors from db, why I still need to pass an embedding params? and I think the param "embedding_function" is unnecessary, isn't it? |
I had the same issue here. Thanks @Lufffya ! But is very strange you have to load the embedding model into the Chroma database, rather than with the search query... |
Yes I have similar question I just want to search the existing indexed docs why i need to pass the embedding_function ? |
because input for search need call embedding_function to get input embeddings, I guess |
The following line of code |
Hi, @Lufffya! I'm Dosu, and I'm here to help the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale. From what I understand, the issue you raised was about confusion regarding the code snippet provided for saving and loading embeddings from Chroma. You were finding it difficult to understand why the code still searches for answers from the Now, we would like to know if this issue is still relevant to the latest version of the LangChain repository. If it is, please let us know by commenting on the issue. Otherwise, feel free to close the issue yourself or the issue will be automatically closed in 7 days. Thank you for your contribution to the LangChain repository! Let us know if you have any further questions or concerns. |
When using
The model responds that context is empty. If on the other hand I create the vectorstore using
the model gets a context. How come? |
I am also facing the same issue! Any idea why it is so? |
Issue with current documentation:
Idea or request for content:
In above code, I find it difficult to understand this paragraph:
Although
db2
anddb3
do demonstrate the saving and loading of Chroma,But Two pieces of code(
docs = db.similarity_search(query)
) have nothing to do with saving and loading,and it still searches for answers from the
db
Is this an error?
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