I got up early to prep for a call with Kelley. Instead I got distracted by something Ralf had written. Let me explain. ⇒ Ralf Barkow
chat.openai
One approach for indexing content in a wiki could be using a Keyword-Based Indexing method. Here's how it could work: Tokenize the text: Break down the text into individual words and remove stop words (e.g. "the," "and," "a").
Stemming: Reduce the words to their root form (e.g. "running" becomes "run").
Create an inverted index: Map each unique word to the pages in the wiki that contain that word.
Store the index: The inverted index can be stored in a data structure such as a hash table or a search tree to allow for efficient search and retrieval.
This approach allows users to quickly search for content within the wiki by providing keywords. The results can be ranked based on relevance, and users can then click through to the relevant pages.