Gemini-Search

Chen

12 Jan 2025 — 2 min read

1. Summary

Gemini-Search is an AI search engine clone project inspired by Perplexity AI, built using the Google Gemini 2.0 Flash model. It aims to provide a tool that integrates real-time web search results and provides users with AI-powered answers. Unlike traditional search engines, Gemini-Search not only returns a list of links but also attempts to understand the user's questions and provide answers in a concise summary, along with citations of the original sources.

The project's tech stack includes React, Vite, TypeScript, and Tailwind CSS for the frontend, Express.js and TypeScript for the backend, and the Google Gemini 2.0 Flash API for the AI model, combined with the Google Search API for web searching.

2. Features/Pros/Cons

Features:

AI-Powered Search: Uses the Google Gemini 2.0 Flash model to generate answers.
Real-time Web Search: Integrates the Google Search API to provide up-to-date web information.
Source Citations: Provides source links for answers, allowing users to verify information.
Conversational Interaction: Supports follow-up questions within the same chat session.
Clean UI: Inspired by Perplexity AI, emphasizing simplicity and modern design.
Fast Response Times: Utilizes the Gemini 2.0 Flash model for quick responses.

Pros:

More Efficient Information Retrieval: By providing AI-summarized information, users don't have to browse through search results individually.
Improved Search Experience: Offers a chatbot-like interactive experience, making it more convenient and natural.
Open Source: Users can freely use and modify the code to fit their specific needs.

Cons:

Dependency on Google API: Requires a Google API Key to use, which may come with certain limitations.
Potential Inaccuracies: The AI-generated answers may not always be 100% accurate, so users need to verify information carefully.
Technical Requirements: Deployment and use require some technical knowledge.
Still in Development: The project may have some known or unknown bugs.

3. Article Tags

English Tags:
AI search engine, Gemini, open-source project, web search, natural language processing, information retrieval

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