# Searchat — Interactive Infographics

Visual architecture diagrams and flow charts
v0.6.0 | Last updated: 2026-02-17
Self-contained HTML · Zero dependencies · Viewable offline

## 🔗 Quick Links

- PyPI Package: https://pypi.org/project/searchat/
- Installation: `pip install searchat` (from PyPI) or `pip install -e .` (from source)
- Documentation: Main README | Architecture | API Reference
- Source Code: GitHub Repository

## Core Features

RAG Chat Pipeline
Query → Search → Context → LLM → Response
Understand how AI-powered Q&A works over your conversation history. Shows hybrid search, context extraction, LLM integration, and streaming responses.
RAG Hybrid Search LLM Integration
Backup & Restore Flow
Manual · Automatic · Validation Gates · Atomic Operations
Data safety procedures including manual backups, automatic pre-restore backups, validation steps, and atomic restore operations.
Data Safety Validation Recovery
File Watching & Live Indexing
Event Detection · Debouncing · Queue Processing
Real-time file system monitoring with debouncing, queue-based processing, append-only indexing, and status tracking.
Live Indexing FS Events Debouncing

## Architecture

Multi-Agent Connector Architecture
Protocol · Registry · 8 Agent Implementations
Extensible connector system supporting 8 AI coding agents. Shows protocol interface, registry pattern, path resolution, and format handling.
Extensibility Multi-Agent Protocol Design

All infographics are self-contained HTML files with inline CSS and SVG.
No external dependencies · Fully functional offline · Cross-browser compatible