Data framework specializing in connecting LLMs and agents to your data.
Category: Agent Frameworks · Type: Data framework for agents (RAG) · Website: https://www.llamaindex.ai
Overview
LlamaIndex focuses on the data side of agents: ingesting, indexing, and retrieving from documents and knowledge bases for retrieval-augmented generation. It also offers agent and workflow abstractions and the LlamaParse document-parsing service.
Key Features
- Best-in-class RAG ingestion, indexing, and retrieval
- Connectors to hundreds of data sources
- Agent and event-driven workflow abstractions
- LlamaParse for complex document parsing
Role in the Agentic AI Stack
The data/RAG backbone that grounds agents in proprietary knowledge, working alongside Memory & Data vector stores.
Part of Agentic AI Landscape → Agent Frameworks