Production Agentic RAG Course
NormalDescription
A production-focused Agentic RAG course teaching how to build scalable, reliable RAG agent systems with indexing strategies, retrieval optimization, and monitoring.
A production-focused Agentic RAG course teaching how to build scalable, reliable RAG agent systems with indexing strategies, retrieval optimization, and monitoring.
Ragas is a framework for evaluating RAG (Retrieval Augmented Generation) systems. It provides various evaluation metrics including faithfulness, answer relevance, context precision, helping developers optimize RAG application performance.
TruLens is an open-source tool for evaluating and tracking LLM apps. It provides specialized evaluation for RAG applications including context relevance, groundedness, and answer relevance.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases with practical examples and tutorials.
A MemAgent framework that can extrapolate to 3.5M context tokens, along with a training framework for RL training of any agent workflow.