KernelMemory: Cleanup extreacted text, example of ingestion pipeline customization 

In this video I show how you can customize ingestion pipeline of Kernel Memory creating a simple component that remove any non ASCII character, to demonstrate a very rough technique to remove weird UNICODED or wrong UNICODE characters extracted from the document.
You can find the code here. github.com/alkampfergit/Seman...
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
00:00 - Introduction to Kernel Memory Customization
00:33 - Problem with Weird Characters in Text Extraction
01:32 - Importance of Text Quality for Indexing Data
01:57 - Customizing the Ingestion Pipeline in Kernel Memory
03:01 - Creating Handlers for the Ingestion Pipeline
04:15 - Adapting to Different Document Types in Kernel Memory
05:56 - Importance of Text Extraction and Cleaning in NLP
07:32 - Customizing the Pipeline in Kernel Memory
08:30 - Example of Text Cleaning in Kernel Memory
14:02 - Importance of Customization in RUG Implementation
15:18 - Conclusion and Recommendation for Kernel Memory

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