llamaindex-patterns

Overview

LlamaIndex is a data framework for connecting LLMs with external data. It provides document loaders, vector stores, query engines, and chat engines for building RAG applications and knowledge-augmented agents.

Capabilities

• Load documents from 160+ sources (PDF, Notion, Slack, databases)
• Build vector indices for semantic search
• Create query engines with retrieval and synthesis
• Build conversational chat engines with memory
• Use agents with tool use and multi-step reasoning
• Implement advanced RAG patterns (routing, fusion, recursive)

When to Use