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This section demonstrates practical applications of DSPy across different domains and use cases. Each tutorial shows how to build production-ready AI systems using DSPy's modular programming approach.
Learn how to create AI-powered documentation generators that analyze codebases and produce structured, LLM-friendly documentation following the llms.txt standard.
### 📧 [Email Information Extraction](../email_extraction/index.md)
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Build intelligent email processing systems that classify messages, extract entities, and identify action items using DSPy's structured prediction capabilities.
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**Key Concepts:** Information extraction, classification, text processing
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### 🧠 [Memory-Enabled ReAct Agents with Mem0](../mem0_react_agent/index.md)
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Create conversational agents with persistent memory using DSPy ReAct and Mem0 integration for context-aware interactions across sessions.
### 💰 [Financial Analysis with Yahoo Finance](../yahoo_finance_react/index.md)
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Develop financial analysis agents that fetch real-time market data, analyze news sentiment, and provide investment insights using LangChain tool integration.
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