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I'm using this code to get the embeddings of sentences that are in my dataset(I'm using my pretrained model).
`python extract_features.py \
--input_file=/tmp/input.txt \
--output_file=/tmp/ou…
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i.e. norm(v)=1, where v is the vector (512 dimensions) of a sentence
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Hi team. What's the current suggestion or best practice for creating a domain-specific sentence embedding?
Here's what type of data I have
```
- Unlabel domain-specific data (~10M rows)
- Some…
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I am wondering if there is any potential way to map sentence embeddings between models. Let's say I have a set of sentences I have embedded and are querying them from an inverted index. Let's say I …
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### Is your feature request related to a problem? Please describe.
Following #708 I developed some scraping code from github that downloads .py/.ipnyb for the ragproxy agent. I would like to find a…
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Hi,
Thanks for your good work!
May I ask a question about the CLS embedding and sentence embedding for UnixCoder? in the paper it says "we first use UniXcoder to encode a mapped AST sequence an…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I want to create RAG on Urdu dataset. I am already using the Llama index for English doc…
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# embeddings
An embedding is a numerical representation of a piece of information, for example, text, documents, images, audio, etc. The representation captures the semantic meaning of what is being …
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When using deepseekcoder:1.3b via Ollama completion sometimes includes "".
All in all, using Ollama as backend changes behaviour from using it with --model DeepseekCoder-1.3B
Some of it might be …
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[ ] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.
**Your Question**
faithfulness_score: always be nan
**Code Examples**…