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Personalized Search

By ivents.online Chats：1 Added time: 2024-03-24 Gpt updated time: 2024-01-30
An assistant that can remember a list of search queries and send them to the search engine in one package. This works thanks to external memory and authorization function
Use Personalized Search on ChatGPT
Artificial Intelligence Search Engine

Functions of Personalized Search on ChatGPT

Who is suitable to use Personalized Search on ChatGPT?

Personalized Search on ChatGPT is an assistant that is able to remember a list of search queries and send them to the search engine in a single package. This functionality is achieved through the use of external memory and an authorization function.

How do I use Personalized Search Quickstart on ChatGPT?

To quickly get started with Personalized Search on ChatGPT, follow these steps: 1. Access the website and create an account. 2. Enter your search queries in the assistant's input field. 3. Click the 'Bundle Search' button. 4. The assistant will send the queries to the search engine and present the results.

How to use Personalized Search on ChatGPT?

To use Personalized Search on ChatGPT, simply input your search queries to the assistant. The assistant will store them in its memory and present them to the search engine when requested. The results will be displayed to you in a bundled format.

Personalized Search on ChatGPT's Tags

Authorization Personalized Search Efficient information retrieval Search query bundling Memory support

FAQ about Personalized Search on ChatGPT

Can I bundle multiple search queries at once?
Yes, Personalized Search on ChatGPT allows you to input multiple search queries and send them as a package to the search engine.
Is it possible to retrieve previous search bundles?
Yes, the assistant retains a memory of your search queries and allows you to retrieve previous search bundles for quick access.
Are there any limitations on the number of search queries I can bundle?
There is currently no specific limitation on the number of search queries you can bundle. However, for optimal performance, it is recommended to bundle a reasonable number of queries.

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