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@llama_index

Build production-ready PDF document agents with complete observability and evaluation using LlamaIndex and @FutureAGI_'s monitoring framework. 🔍 Automatically instrument your entire RAG pipeline - from PDF ingestion to vector storage to response generation - with detailed tracing 📊 Run continuous evaluations on task completion, hallucination detection, context relevance, and custom business logic 🚨 Set up real-time alerts when your document agent's performance degrades, with proactive monitoring of quality metrics 📚 Get full transparency into retrieval decisions, embedding generation, and LLM reasoning with span-level observability This comprehensive cookbook walks through building a conversational PDF chatbot that users can trust in production. You'll learn how to use @OpenAI models for embeddings and generation, integrate @FutureAGI_'s traceAI-llamaindex package for automatic instrumentation, and set up evaluation frameworks that ensure your document agent stays reliable over time. The tutorial covers everything from basic PDF ingestion to advanced custom evaluations, showing you how to transform a black-box chatbot into an explainable, diagnosable system. Read the full cookbook: https://t.co/hCe2iOfJGw

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