Basically, yes, but more nerfed. This ability is essential for many current AI chatbots and works on basic level of accessing specific needed info from storage. Easy example for a search bot will a chatbot that answers questions. Instead of giving LLM AI model access to all database(thousands of sentences), special algorithm(usually a semantic search) retrieves only a small relevant to the user input part of info(like only a dozen of sentences) and gives it to LLM model for further analyzing and formatting. This approach reduces the amount of tokens for which you pay, makes answers more correct and fast.

For a bot to be a true search bot such searching algorithm should be able to use internet and local storage together. And the interesting part is that you don't even need to have an LLM in this chain. You can only use RAG system to search for needed info in any text file. The only issue is that it will not be formatted and analyzed automatically.