fix(cookbook): correct mismatched Open in Colab badge links

Seven introduction notebooks linked to a different notebook's filename
in their Colab badge (off-by-one numbering), sending readers to the
wrong notebook or a 404. Point each badge back at its own file.
This commit is contained in:
KaifAhmad1
2026-08-24 16:13:47 +05:30
parent 7a6f1d0417
commit 3c00ffb019
7 changed files with 8 additions and 41 deletions
@@ -3,40 +3,7 @@
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/04_Document_Parsing.ipynb)\n",
"\n",
"# Document Parsing\n",
"\n",
"## Overview\n",
"\n",
"This notebook demonstrates how to parse various document formats using Semantica's parsing modules. You'll learn to extract text, metadata, and structured data from PDFs, DOCX, CSV, JSON, XML, and HTML files.\n",
"\n",
"**Documentation**: [API Reference](https://semantica.readthedocs.io/reference/parse/)\n",
"\n",
"### Learning Objectives\n",
"\n",
"- Use `DocumentParser` for general document parsing\n",
"- Use format-specific parsers: `PDFParser`, `DOCXParser`, `CSVParser`, `JSONParser`, `XMLParser`, `HTMLParser`\n",
"- Extract text content and metadata from documents\n",
"- Parse structured data formats\n",
"\n",
"## Installation\n",
"\n",
"Install Semantica from PyPI:\n",
"\n",
"```bash\n",
"pip install semantica\n",
"# Or with all optional dependencies:\n",
"pip install semantica[all]\n",
"```\n",
"\n",
"---\n",
"\n",
"## Step 1: Document Parser\n",
"\n",
"Parse various document formats using the general DocumentParser.\n"
]
"source": "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/03_Document_Parsing.ipynb)\n\n# Document Parsing\n\n## Overview\n\nThis notebook demonstrates how to parse various document formats using Semantica's parsing modules. You'll learn to extract text, metadata, and structured data from PDFs, DOCX, CSV, JSON, XML, and HTML files.\n\n**Documentation**: [API Reference](https://semantica.readthedocs.io/reference/parse/)\n\n### Learning Objectives\n\n- Use `DocumentParser` for general document parsing\n- Use format-specific parsers: `PDFParser`, `DOCXParser`, `CSVParser`, `JSONParser`, `XMLParser`, `HTMLParser`\n- Extract text content and metadata from documents\n- Parse structured data formats\n\n## Installation\n\nInstall Semantica from PyPI:\n\n```bash\npip install semantica\n# Or with all optional dependencies:\npip install semantica[all]\n```\n\n---\n\n## Step 1: Document Parser\n\nParse various document formats using the general DocumentParser."
},
{
"cell_type": "code",
@@ -271,4 +238,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/05_Data_Normalization.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/04_Data_Normalization.ipynb)\n",
"\n",
"# Data Normalization\n",
"\n",
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/08_Building_Knowledge_Graphs.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/07_Building_Knowledge_Graphs.ipynb)\n",
"\n",
"# Building Knowledge Graphs\n",
"\n",
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/09_Your_First_Knowledge_Graph.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb)\n",
"\n",
"# 🚀 Your First Knowledge Graph\n",
"\n",
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/11_Graph_Analytics.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/10_Graph_Analytics.ipynb)\n",
"\n",
"# Graph Analytics\n",
"\n",
@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/13_Embedding_Generation.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/12_Embedding_Generation.ipynb)\n",
"\n",
"# Embedding Generation\n",
"\n",
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@@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/17_Visualization.ipynb)\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/introduction/16_Visualization.ipynb)\n",
"\n",
"# Visualization\n",
"\n",