Skip to content

Commit

Permalink
Bug fixes
Browse files Browse the repository at this point in the history
  • Loading branch information
@louisbrulenaudet
louisbrulenaudet committed Aug 11, 2024
1 parent e7e6159 commit 2129b3c
Show file tree
Hide file tree
Showing 11 changed files with 21 additions and 21 deletions.
Binary file modified .DS_Store
View file
Binary file not shown.
4 changes: 2 additions & 2 deletions README.md
View file
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
![Plot](https://github.com/louisbrulenaudet/ragoon/blob/main/thumbnail.png?raw=true)

# RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡
# RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
[![Python](https://img.shields.io/pypi/pyversions/tensorflow.svg)](https://badge.fury.io/py/tensorflow) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) ![Maintainer](https://img.shields.io/badge/maintainer-@louisbrulenaudet-blue)

RAGoon is a set of NLP utilities for multi-model embedding production, high-dimensional vector visualization, and aims to improve language model performance by providing contextually relevant information through search-based querying, web scraping and data augmentation techniques.
Expand Down Expand Up @@ -230,7 +230,7 @@ If you use this code in your research, please use the following BibTeX entry.
```BibTeX
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},
howpublished = {\url{https://github.com/louisbrulenaudet/ragoon}},
year = {2024}
}
Expand Down
4 changes: 2 additions & 2 deletions docs/build/html/_sources/index.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
sphinx-quickstart on Thu Aug 1 17:22:00 2024.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡
RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
=================================================================================================================================

RAGoon is a set of NLP utilities for multi-model embedding production, high-dimensional vector visualization, and aims to improve language model performance by providing contextually relevant information through search-based querying, web scraping and data augmentation techniques.
Expand All @@ -25,7 +25,7 @@ If you use this code in your research, please use the following BibTeX entry.
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},
howpublished = {\url{https://github.com/louisbrulenaudet/ragoon}},
year = {2024}
}
Expand Down
14 changes: 7 additions & 7 deletions docs/build/html/index.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />

<title>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡ &#8212; RAGoon 0.0.5 documentation</title>
<title>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡ &#8212; RAGoon 0.0.5 documentation</title>



Expand Down Expand Up @@ -325,7 +325,7 @@


<div id="jb-print-docs-body" class="onlyprint">
<h1>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡</h1>
<h1>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡</h1>
<!-- Table of contents -->
<div id="print-main-content">
<div id="jb-print-toc">
Expand All @@ -335,7 +335,7 @@ <h2> Contents </h2>
</div>
<nav aria-label="Page">
<ul class="visible nav section-nav flex-column">
<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡</a><ul class="visible nav section-nav flex-column">
<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡</a><ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quick-install">Quick install</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-this-project">Citing this project</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#feedback">Feedback</a><ul class="visible nav section-nav flex-column">
Expand All @@ -356,8 +356,8 @@ <h2> Contents </h2>
<div id="searchbox"></div>
<article class="bd-article">

<section id="ragoon-high-level-library-for-batched-embeddings-generation-blazingly-fast-web-based-rag-and-quantitized-indexes-processing">
<h1>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡<a class="headerlink" href="#ragoon-high-level-library-for-batched-embeddings-generation-blazingly-fast-web-based-rag-and-quantitized-indexes-processing" title="Link to this heading">#</a></h1>
<section id="ragoon-high-level-library-for-batched-embeddings-generation-blazingly-fast-web-based-rag-and-quantized-indexes-processing">
<h1>RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡<a class="headerlink" href="#ragoon-high-level-library-for-batched-embeddings-generation-blazingly-fast-web-based-rag-and-quantized-indexes-processing" title="Link to this heading">#</a></h1>
<p>RAGoon is a set of NLP utilities for multi-model embedding production, high-dimensional vector visualization, and aims to improve language model performance by providing contextually relevant information through search-based querying, web scraping and data augmentation techniques.</p>
<section id="quick-install">
<h2>Quick install<a class="headerlink" href="#quick-install" title="Link to this heading">#</a></h2>
Expand All @@ -371,7 +371,7 @@ <h2>Citing this project<a class="headerlink" href="#citing-this-project" title="
<p>If you use this code in your research, please use the following BibTeX entry.</p>
<div class="highlight-BibTeX notranslate"><div class="highlight"><pre><span></span><span class="nc">@misc</span><span class="p">{</span><span class="nl">louisbrulenaudet2024</span><span class="p">,</span>
<span class="w"> </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Louis Brulé Naudet}</span><span class="p">,</span>
<span class="w"> </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing}</span><span class="p">,</span>
<span class="w"> </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing}</span><span class="p">,</span>
<span class="w"> </span><span class="na">howpublished</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{\url{https://github.com/louisbrulenaudet/ragoon}}</span><span class="p">,</span>
<span class="w"> </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2024}</span>
<span class="p">}</span>
Expand Down Expand Up @@ -443,7 +443,7 @@ <h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Li
</div>
<nav class="bd-toc-nav page-toc">
<ul class="visible nav section-nav flex-column">
<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡</a><ul class="visible nav section-nav flex-column">
<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡</a><ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quick-install">Quick install</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-this-project">Citing this project</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#feedback">Feedback</a><ul class="visible nav section-nav flex-column">
Expand Down
4 changes: 2 additions & 2 deletions docs/build/html/installation.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="next" title="🖼️ Tutorials" href="tutorials.html" />
<link rel="prev" title="RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡" href="index.html" />
<link rel="prev" title="RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡" href="index.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
</head>
Expand Down Expand Up @@ -370,7 +370,7 @@ <h1>🚀 Installation<a class="headerlink" href="#installation" title="Link to t
<i class="fa-solid fa-angle-left"></i>
<div class="prev-next-info">
<p class="prev-next-subtitle">previous</p>
<p class="prev-next-title">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡</p>
<p class="prev-next-title">RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡</p>
</div>
</a>
<a class="right-next"
Expand Down
2 changes: 1 addition & 1 deletion docs/build/html/searchindex.js
View file

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion docs/source/conf.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
project = 'RAGoon'
copyright = '2024, Louis Brulé Naudet'
author = 'Louis Brulé Naudet'
release = '0.0.12'
release = '0.0.13'

# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
Expand Down
4 changes: 2 additions & 2 deletions docs/source/index.rst
View file
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
sphinx-quickstart on Thu Aug 1 17:22:00 2024.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡
RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
=================================================================================================================================

RAGoon is a set of NLP utilities for multi-model embedding production, high-dimensional vector visualization, and aims to improve language model performance by providing contextually relevant information through search-based querying, web scraping and data augmentation techniques.
Expand All @@ -25,7 +25,7 @@ If you use this code in your research, please use the following BibTeX entry.
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},
howpublished = {\url{https://github.com/louisbrulenaudet/ragoon}},
year = {2024}
}
Expand Down
2 changes: 1 addition & 1 deletion notebooks/RAGoon_EmbeddingsDataLoader_cookbook.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@
"```BibTeX\n",
"@misc{louisbrulenaudet2024,\n",
"\tauthor = {Louis Brulé Naudet},\n",
"\ttitle = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing},\n",
"\ttitle = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},\n",
"\thowpublished = {\\url{https://github.com/louisbrulenaudet/ragoon}},\n",
"\tyear = {2024}\n",
"}\n",
Expand Down
2 changes: 1 addition & 1 deletion notebooks/RAGoon_SimilaritySearch_cookbook.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@
"```BibTeX\n",
"@misc{louisbrulenaudet2024,\n",
"\tauthor = {Louis Brulé Naudet},\n",
"\ttitle = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing},\n",
"\ttitle = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},\n",
"\thowpublished = {\\url{https://github.com/louisbrulenaudet/ragoon}},\n",
"\tyear = {2024}\n",
"}\n",
Expand Down
4 changes: 2 additions & 2 deletions pyproject.toml
View file
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
[project]
name = "ragoon"
version = "0.0.12"
description = "RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantitized indexes processing ⚡"
version = "0.0.13"
description = "RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡"
readme = "README.md"
requires-python = ">=3.9"
keywords = [
Expand Down

0 comments on commit 2129b3c

Please sign in to comment.