Future AGI Cookbooks: Guides and Tutorials
Practical step-by-step guides for evaluation, optimization, simulation, observability, RAG, and agent testing with Future AGI products.
Getting Started
Evals
Learn how to evaluate AI model performance with Future AGI Evals
Protect
Implement AI safeguards and protection mechanisms
Dataset
Work with datasets for model training and evaluation
Knowledge Base
Build and manage knowledge bases for your AI applications
Integrations
Portkey
Connect Future AGI with Portkey for enhanced capabilities
LangChain
Improve reliability in LangChain and LangGraph applications
LlamaIndex
Make LlamaIndex PDF chatbot production ready
Evaluation
Meeting Summarization
Evaluate the quality of AI-generated meeting summaries
AI SDR Evaluation
Assess AI-powered sales development representative performance
AI Agent Evaluation
Learn advanced techniques for evaluating AI agent performance
Simulation
Chat Simulation with Fix My Agent
Simulate and test AI chat agents using the Future AGI SDK
Voice Simulation with SDK
Test conversational voice AI agents with agent-simulate SDK
Observability
LangChain Chatbot
Add monitoring and observability to your AI applications
Text-to-SQL Agent
Evaluate the performance of text-to-SQL conversion agents
RAG
Experimenting Langchain RAG
Build and improve RAG applications using LangChain
Evaluating RAG Applications
Methods for evaluating retrieval-augmented generation systems
Trustworthy RAG Chatbots
Build reliable and accurate RAG-powered chatbots
Decrease Hallucinations in RAG
Reduce hallucinations in retrieval-augmented generation systems
Optimization
End-to-End Prompt Optimization
Optimize prompts using the Future AGI platform
Basic Prompt Optimization
Optimize prompts for better performance
Evolutionary Optimization with GEPA
Optimize prompts using an evolutionary algorithm for state-of-the-art results
Using Different Evaluation Metrics
Choose the right metrics for optimization workflows
Choosing the Right Optimizer
Select the best optimization strategy for your specific use case
Using Custom Datasets for Optimization
Prepare and integrate datasets from various sources for optimization
Questions & Discussion