tarzi 0.0.10

Rust-native lite search for AI applications

tarzi.rs

Rust-native lite search for your AI applications.

🐒 Tarzi

Tarzi is a unified search interface designed for Retrieval-Augmented Generation (RAG) and agentic systems built on large language models. Search is a core functionality in these systems, yet most search engine providers impose API paywalls or strict rate limits—even for light or research-driven usage.

Tarzi removes these barriers by supporting both token-based APIs and free web queries across multiple search engines. With a single dependency, you can integrate and switch between different Search Engine Providers (SEPs) as needed—seamlessly and efficiently.

⚙️ Core Capabilities

• 🦀 Dual Implementation: Native Rust library and Python wrapper with CLI tools
• 🔄 Content Conversion: Convert raw HTML into Markdown, JSON, or YAML
• 🌐 Web Fetching: Fetch web pages with optional JavaScript rendering
• 🔍 Search Integration: Query search engines via browser (token-free) or API (token-required) mode
• 🧠 Multi-Engine Support: Works with Bing, Google, DuckDuckGo, Brave Search, Tavily, and custom engines
• 🛡️ Proxy Support: Bypass network bans using proxy support
• 🚀 End-to-End Workflow: Full pipeline from search to content extraction for AI and automation use cases

🧪 Advanced Features (Coming Soon)

• 🖥️ Custom Browser Controls: Set screen size, viewport, and locale for realistic behavior
• 🕵️‍♂️ Anti-Bot Evasion: Use fingerprint spoofing, proxy rotation, and human-like actions to avoid detection
• 🧠 Smarter Queries: Improve search results with prompt rewriting and intent-aware queries
• 🔗 Workflow Automation: Chain steps like search, click, form fill, and scraping into automated flows
• 🤖 Agent Integration (MCP): Connect with agent frameworks for context-aware, distributed task execution
• 📊 Observability: Monitor success rate, latency, CAPTCHA frequency, and export logs for analysis

Install

pip install tarzi

Usage Examples

• Examples in Python and Rust: examples

Contributors

Thank you ❤ all human and non-human contributors.