Gemini Search: a Perplexity-style AI search engine built in Gemini 2.0 Flash

General Introduction

Gemini-Search is a Google-based Gemini 2.0 technology to build an open source intelligent search engine project. The project uses TypeScript development , is committed to replicating Perplexity Gemini-Search combines the core functionality of a search engine with Flash and Grounding technologies to provide users with a fast and accurate search experience. The search engine is designed to provide real-time, accurate answers with relevant web sources and citations, ensuring that users receive reliable and up-to-date information.Gemini-Search combines the computational power of AI with the extensive data resources of Google Search to provide users with an efficient search experience.

Many people don't know that the Gemini 2.0 Flash model comes with Google search capability, which can be realized by simple modification.

Function List

• Intelligent search function based on Gemini 2.0
• Perplexity style user interface implementation
• Flash technical support for fast search response
• Grounding technology ensures accurate search results
• Modernized Code Architecture for TypeScript Development
• Full open source support for MIT licenses
• Built-in issue tracking system
• Project collaboration and version control support
• Wiki Documentation Support System

Using Help

1. Environmental preparation

Before you start using Gemini-Search, make sure your development environment meets the following requirements:

• Node.js environment (latest LTS version recommended)
• TypeScript Development Environment
• Git Version Control Tools

2. Project installation

1. Cloning projects to local:

git clone https://github.com/ammaarreshi/Gemini-Search.git
cd Gemini-Search

2. Install the dependencies:

npm install

3. Configure environment variables:

• establish .env file
• Configure the necessary API keys and environment settings

3. Launching the project

npm run dev

4. Description of the use of the main functions

4.1 Search function

• Enter your query in the search box
• The system performs intelligent analysis via the Gemini 2.0 APIs
• Fast Response with Flash Technology
• Grounding technology ensures relevance and accuracy of results

4.2 Presentation of results

• Search results rendered in Perplexity style
• Supports the presentation of multiple data types
• Provides relevance sorting and filtering functions

4.3 Developer Functions

• Full API documentation support
• Code Contribution Guidelines
• Instructions for use of the Issue Tracker
• Wiki documentation and management

5. Cautions

• Securing API Keys
• Compliance with MIT license specifications
• It is recommended to update the dependency packages on a regular basis
• Refer to the project Wiki for the latest documentation

6. Troubleshooting

• Checking the environment configuration
• Viewing the Error Log
• Reporting issues through the Issues system
• Reference Community Discussion Solutions

common problems

• How do I ensure the accuracy of my answers? Each answer is accompanied by relevant web sources and citations that users can click on to view details and ensure the reliability of the answer.
• Are mobile devices supported? Yes, Gemini-Search supports all types of devices, including desktops, tablets and smartphones.
• How do I change the search language? Users can select the desired language in the settings and the system will automatically adjust the language of the search results.