> ## Documentation Index > Fetch the complete documentation index at: https://futureagi.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Cookbooks > Practical guides and tutorials for using Future AGI products effectively ## Getting Started Learn how to evaluate AI model performance with Future AGI Evals Implement AI safeguards and protection mechanisms Work with datasets for model training and evaluation Build and manage knowledge bases for your AI applications ## Integrations Connect Future AGI with Portkey for enhanced capabilities Improve reliability in LangChain and LangGraph applications Make LlamaIndex PDF chatbot production ready ## Evaluation Evaluate the quality of AI-generated meeting summaries Assess AI-powered sales development representative performance Learn advanced techniques for evaluating AI agent performance ## Simulation Simulate and test AI chat agents using the Future AGI SDK Test conversational voice AI agents with agent-simulate SDK ## Observability Add monitoring and observability to your AI applications Evaluate the performance of text-to-SQL conversion agents ## RAG Build and improve RAG applications using LangChain Methods for evaluating retrieval-augmented generation systems Build reliable and accurate RAG-powered chatbots Reduce hallucinations in retrieval-augmented generation systems ## AI Evaluation SDK Catch hallucinations and contradictions locally in under one second Use Gemini to judge accuracy when heuristics miss paraphrases Diagnose retrieval vs generation failures in your RAG pipeline Block jailbreaks, code injection, and PII leaks in under 10ms Cut off toxic LLM output mid-stream with real-time monitoring Auto-generate test pipelines from app descriptions for CI/CD Teach your LLM judge from past mistakes with ChromaDB feedback Judge images and audio alongside text with Gemini vision ## Optimization Optimize prompts using the Future AGI platform Optimize prompts for better performance Optimize prompts using an evolutionary algorithm for state-of-the-art results Choose the right metrics for optimization workflows Select the best optimization strategy for your specific use case Prepare and integrate datasets from various sources for optimization