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
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

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