Searchat — Interactive Infographics

🔗 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