The Gemini API can now do semantic searches, going beyond content generation. This means it can understand the meaning of your search and provide better results, even if your words don't exactly match the data. This report introduces the enhanced search capabilities of the Gemini API.
Google Apps Script automates tasks like managing protections in Google Spreadsheets. These protections control user access to specific cells. While scripts exist for this purpose, users still encounter challenges, prompting this report. The report aims to introduce techniques for managing protections using sample scripts, helping users understand and implement this functionality.
The Gemini API enables both content generation and semantic search, managing data effectively. This report introduces a Gemini-powered similarity viewer for easy visualization of complex text similarity scores, using Google Spreadsheet and Apps Script.
Allowing Access by IMPORTHTML, IMPORTDATA, IMPORTFEED, IMPORTXML, and IMPORTRANGE on Google Spreadsheet with Google Apps Script
From this X and this blog, it seems that in the current stage, this situation can be resolved using Sheets API. The sample script of Google Apps Script is as follows. Before you test this, please enable Sheets API at Advanced Google services.
function myFunction() {
New Gemini API opens doors for developers to integrate its AI power into apps, potentially impacting education, healthcare, and business. The latest Gemini 1.5 brings even more features. This report showcases an image bot using Gemini as one example of its diverse applications. Showcasing its diverse application potential across various fields.
The recent release of Gemini as an accessible API on Vertex AI and Google AI Studio empowers developers to integrate its vast capabilities into their applications, potentially revolutionizing fields like education, healthcare, and business. Adding even more powerful features with the recently announced Gemini 1.5, this tool promises even greater impact. Ref and Ref I believe Gemini significantly expands the potential for diverse applica
Powerful AI tool Gemini's API release (Vertex AI & Google AI Studio) opens doors for diverse applications. Its recent upgrade to version 1.5 boosts capabilities. This report demonstrates using simple Google Apps Script function calls to leverage Gemini's power for both data retrieval and content generation.
The recent release of the LLM model Gemini as an API on Vertex AI and Google AI Studio unlocks a world of possibilities. Ref Excitingly, Gemini 1.5 was just announced, further expanding its capabilities. Ref I believe Gemini significantly expands the potential in various situations and paves the way for diverse applications. Notably, the Gemini API can retrieve new data and generate content through function calls. In this report, I introduce the basic flow of function
New "semantic search" features in Gemini API help find desired information within its corpora. While using these features with Google Apps Script was complex, a new library simplifies the process. This report proposes using this library with Gemini-generated content to automate template processes in Google Docs and Slides, creating a more flexible workflow.
This is a sample script for converting a contact URL of "person/c###" to a resource name "people/c###" for People API using Google Apps Script.
When you open each contact at Contacts with your browser, you can see the URL like https://contacts.google.com/person/c###################
.
Here, you might have a situation where you are required to retrieve the resource name for People API from this URL. But, in the current stage, person/c###################
cannot be directly used as the resource name people/c###################
. In this report, I would like to introduce a sample script for converting from person/c###################
to people/c###################
.
In the current stage, v1beta of Gemini API can use the corpora. Ref When the corpora are used, the values can be searched with the semantic search. In the current stage, 5 corpora can be created in a single project. And, each corpus can have 10,000 documents and 1,000,000 chunks. In this report, I would like to introduce a method for achieving the semantic search using the corpora with Google Apps Script.
I have published "Flexible Labeling for Gmail using Gemini Pro API with Google Apps Script" on December 19, 2023. Today, I published "Categorization using Gemini Pro API with Google Apps Script".
In this report, as part 2, I would like to introduce 2 sample scripts for flexible labeling for Gmail using the semantic search and the function calling of Gemini Pro API with Google Apps Script.