🔍 SearChat

AI-powered conversational search engine

Multi-model integration | Real-time conversational search | Deep Research support

English | 中文 | 日本語

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🌟 Project Overview

SearChat is a modern AI-powered conversational search engine built with Turborepo monorepo architecture, integrating Node.js + Koa backend and Vue 3 + TypeScript frontend.

🎯 Key Features:

• 🤖 Multi-model Support - Compatible with OpenAI, Anthropic, Gemini APIs
• 🔍 Multiple Search Engines - Support for Bing, Google, SearXNG and more
• 💬 Conversational Search - Multi-turn chat-based search experience
• ⏰ Chat History - Conversation history cached in browser (IndexedDB/LocalStorage)
• 🧠 Deep Research Mode - Refactoring deep research functionality
• 🔌 MCP Support - (TODO) Support for external MCP services
• 🖼️ Image Search - (TODO) Support for image and video search
• 📂 File Parsing - (TODO) Support for document upload and content extraction

✨ Core Features

🧠 Deep Research

• Intelligent Research Mode - Deep research functionality
• Iterative Exploration - Workflow orchestration based on LangChain + LangGraph
• Comprehensive Report Generation - Automatically generate structured research reports

🤖 AI Model Support

[!IMPORTANT] To achieve the best results, the model must support Tool Call (Function Calling).

• OpenAI API compatible
• Google Gemini API compatible
• Anthropic API compatible
• Google Vertex AI compatible

🔍 Multi-Search Engine Integration

• SearXNG - Open source aggregated search, no API key required
• Bing Search - Microsoft Bing web search API
• Google Search - Google web search API
• Tavily - Tavily web search API
• Exa - Exa.ai web search API
• Bocha - BochaAI web search API
• ChatGLM Web Search - Zhipu AI free search plugin

🎨 Modern Interface Experience

• Responsive Design - Perfect adaptation for desktop and mobile
• Dark/Light Theme - Support for automatic system theme switching
• Internationalization - Multi-language interface (i18n)
• Real-time Streaming - Typewriter effect answer display
• Contextual Conversation - Support for multi-turn dialogue and history

🔬 Deep Research Mode

Deep Research mode uses AI-driven iterative search and analysis to generate comprehensive and in-depth research reports on any topic.

Key Features:

• 🔄 Iterative Research - Automatically identifies knowledge gaps and performs follow-up searches
• 📊 Structured Reports - Generates well-organized research reports with citations
• 🔗 Citation Support - Includes source references with configurable formats ([[citation:1]] or clickable URLs)
• 🎯 Multi-Engine Search - Leverages multiple search engines for comprehensive results

📹 Feature Demo

Demo

📦 Standalone Usage

If you want to integrate Deep Research capabilities into your own Node.js project:

npm install deepsearcher

Quick Example:

import { DeepResearch } from 'deepsearcher';

const deepResearch = new DeepResearch({
  searcher: async ({ query }) => {
    // Your search implementation
    return searchResults;
  },
  options: {
    type: 'openai',
    apiKey: 'your-api-key',
    enableCitationUrl: false, // Use [[citation:1]] format
  },
});