rename manual_extraction to manuals_llm_extraction (#139)

Author: badmonster0

README.md

@@ -95,7 +95,7 @@ Go to the [examples directory](examples) to try out with any of the examples, fo
 | [Text Embedding](examples/text_embedding) | Index text documents with embeddings for semantic search |
 | [Code Embedding](examples/code_embedding) | Index code embeddings for semantic search |
 | [PDF Embedding](examples/pdf_embedding) | Parse PDF and index text embeddings for semantic search |
-| [Manual Extraction](examples/manual_extraction) | Extract structured information from a manual using LLM |
+| [Manuals LLM Extraction](examples/manuals_llm_extraction) | Extract structured information from a manual using LLM |
 
 More coming and stay tuned! If there's any specific examples you would like to see, please let us know in our [Discord community](https://discord.com/invite/zpA9S2DR7s) 🌱.
 

examples/manual_extraction/.env renamed to examples/manuals_llm_extraction/.env

@@ -25,13 +25,13 @@ pip install -e .
 Setup:
 
 ```bash
-python manual_extraction.py cocoindex setup
+python manuals_llm_extraction.py cocoindex setup
 ```
 
 Update index:
 
 ```bash
-python manual_extraction.py cocoindex update
+python manuals_llm_extraction.py cocoindex update
 ```
 
 ### Query the index
@@ -54,7 +54,7 @@ CocoInsight is in Early Access now (Free) 😊 You found us! A quick 3 minute vi
 Run CocoInsight to understand your RAG data pipeline:
 
 ```
-python manual_extraction.py cocoindex server -c https://cocoindex.io
+python manuals_llm_extraction.py cocoindex server -c https://cocoindex.io
 ```
 
 Then open the CocoInsight UI at [https://cocoindex.io/cocoinsight](https://cocoindex.io/cocoinsight).

examples/manual_extraction/README.md renamed to examples/manuals_llm_extraction/README.md

@@ -1,6 +1,6 @@
 [project]
-name = "manual-extraction"
+name = "manuals-llm-extraction"
 version = "0.1.0"
-description = "Simple example for cocoindex: extract structured information from a Markdown file."
+description = "Simple example for cocoindex: extract structured information from a Markdown file using LLM."
 requires-python = ">=3.10"
 dependencies = ["cocoindex>=0.1.6", "python-dotenv>=1.0.1", "marker-pdf>=1.5.2"]