via “rag-integrated agent workflows with llamaindex queryengine and agentworkflow abstractions”
This repository contains the Hugging Face Agents Course.
Unique: Integrates RAG as a first-class agent capability rather than a post-hoc retrieval step, allowing agents to reason about which documents to retrieve and how to synthesize information across multiple sources. QueryEngine abstraction encapsulates the full retrieval pipeline (indexing, embedding, retrieval, synthesis) behind a single interface, reducing boilerplate for document-heavy agents.
vs others: More optimized for document-centric workflows than general-purpose frameworks because retrieval is built into the agent loop rather than added as a tool; better source attribution and explainability than pure LLM agents.