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**Is your feature request related to a problem? Please describe.**
The document-based RAG feature shows a glimpse of how useful it can be. Unfortunately for most practical applications, data is not s…
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### Title
Exploring and Exploting Behavior in Research Career Trajectories: Developing a Niche Index for Single Researchers
### Leaders
Lorenzo Teresi https://twitter.com/teresi_lorenzo
Roberto Pi…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I am trying to create a RAG chatbot that only answers from the content that i provide th…
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RAG typically needs generating vector embeddings from data (documents, databases, or KGs), that will later provide contextual information for the LLM. Generating embeddings takes a lot of compute time…
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Hello,
I have been using fasttext to get word vectors for my text. Works great, love it.
However, I am training my neural networks to predict a word-vector as output as well as taking them as in…
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# Issue Metrics
| Metric | Average | Median | 90th percentile |
| --- | --- | --- | ---: |
| Time to first response | 1 day, 8:52:25 | 12:23:16 | 2 days, 19:42:21 |
| Time to close | 3 days, 20:37:46…
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As the code:
```
# Prepare embeddings
docs='Risk communication on the problems regarding endocrine disruptors and release of information on pollutant emission from industrial plants'
# docs = 'AR…
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Post a link for a "possibility" reading of your own on the topic of Deep Learning with Text [for week 5], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we …
lkcao updated
2 years ago
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## 🚀 Feature Request
The following is a non-exhaustive list of attention-based feature attribution methods that could be added to the library:
Method name
Source
Code implementatio…