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In addition to word embedding models like GloVe, there are now text embedding models like BERT and Universal Sentence Encoder that work at the level of sentences. These embedding models take an entire…
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Hello everyone, I need your help urgently. How can I assign weights to words or labels when obtaining vectors? For instance, consider the sentence: "apple iphone 14 pro red." When obtaining vectors, I…
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I am using the SentenceTransformer model with the precision parameter set to `float32`, but the returned precision is still `float64`. Here is the relevant part of my code:
```python
class GetM3eMod…
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**Is your feature request related to a problem? Please describe.**
Nowaday search can be based by BM25 and semantic search. Using cosine similarity with a provided vector at index time we could ponde…
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Context: I'm trying to use sentence embeddings with LDA (sckit-learn implementation) and the algorithm needs vectors to be all positive values. I was going through sentence embedding using sentence tr…
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### Contact Details [Optional]
makkarss929@gmail.com
### System Information
system : mac m1 pro 14 inch
db : postgres
### What happened?
While creating vector index
```
# Import the …
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Hi, Liang
I think there is a bug in sempre1.0. you may try to fix it and see a significant accuracy improvement.
Location: src/edu/stanford/nlp/sempre/paraphrase/VectorSpaceModel.java
in function com…
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This could also allow us to:
1. zero-shot voice (and prosody) clone existing recording
2. generate some random samples and then freeze one style we like most for subsequent generations.
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hi, I have a (typical) use-case where vector index mostly works, but there are tim…
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Hello :)
First thank you for your amazing work!
When using bge-m3 within langchain what is the default representation of the encoding? Dense or a mix of differents (sparse...)?