xiaoyaosearch — What is it?

XiaoyaoSearch is an AI-powered local file search tool designed for knowledge workers, content creators, and developers, offering multi-modal input and advanced AI models for efficient and intuitive file retrieval.

⭐ 1,018 Stars 🍴 88 Forks Python NOASSERTION Author: dtsola
Source: README View on GitHub →

Why it matters

XiaoyaoSearch is gaining attention due to its innovative multi-modal input capabilities, integration of advanced AI models like BGE-M3 and CN-CLIP, and its focus on privacy and performance. It fills the gap in local file search tools by providing a user-friendly, AI-enhanced solution.

Source: README

Core Features

Multi-modal Input

Supports voice, text, and image inputs to convert user queries into semantic searches for local file retrieval.

Source: README
AI-Enhanced Search

Integrates AI models for semantic understanding and advanced search capabilities, including support for video, audio, and document content and file name search.

Source: README
High Performance and Privacy

Utilizes a hybrid search architecture with Faiss and Whoosh, offering both performance and privacy options, with local data not automatically uploaded.

Source: README

Architecture

The architecture is a hybrid of a client-server model with Electron for the frontend and FastAPI + Uvicorn for the backend. It uses Faiss for vector search and Whoosh for full-text search, with SQLite for database storage.

Source: Code tree + README

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Faiss Whoosh SQLite Multi-modal Input AI-Enhanced Search High Performance and PrivacyHigh Performance an… xiaoyaosearch Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguagePythonFrameworkElectron, Vue 3, TypeScript, FastAPI, Uvicorn
FaissWhooshSQLite
Local deployment with Python and Node.js environments
Source: Code tree + README

Quick Start

1. Clone the repository. 2. Install dependencies. 3. Prepare the model. 4. Start the backend service. 5. Start the frontend service.
Source: README Installation/Quick Start

Use Cases

XiaoyaoSearch is suitable for knowledge workers, content creators, and developers who need an efficient and intuitive way to search local files, especially those who require multi-modal input and AI-enhanced search capabilities.

Source: README

Strengths & Limitations

Strengths

  • Strengths: Multi-modal input, AI-enhanced search, high performance, privacy-focused design

Limitations

  • Limitations: May require significant resources to run, dependency on AI models and their performance
Source: Synthesis of README, code structure and dependencies

Latest Release

v2.0.0 (2026-04-24): Major UI upgrade with Notion warm and bright design style and complete design system specification.

Source: GitHub Releases

Verdict

XiaoyaoSearch is a promising project for teams or individuals seeking an advanced, AI-powered local file search solution. Its unique multi-modal input and AI integration make it stand out, particularly for users who require efficient and intuitive file retrieval with a focus on privacy and performance.

Frequently Asked Questions

What is xiaoyaosearch?

XiaoyaoSearch is an AI-powered local file search tool designed for knowledge workers, content creators, and developers, offering multi-modal input and advanced AI models for efficient and intuitive file retrieval.

What are the main features of xiaoyaosearch?

xiaoyaosearch's core features include: Multi-modal Input, AI-Enhanced Search, High Performance and Privacy.

Why is xiaoyaosearch trending?

XiaoyaoSearch is gaining attention due to its innovative multi-modal input capabilities, integration of advanced AI models like BGE-M3 and CN-CLIP, and its focus on privacy and performance.

What is xiaoyaosearch used for?

XiaoyaoSearch is suitable for knowledge workers, content creators, and developers who need an efficient and intuitive way to search local files, especially those who require multi-modal input and AI-enhanced search…

Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-23 00:30. Quality score: 85/100.

Data sources: README, GitHub API, dependency files