LlamaIndex

A data framework for LLMs that simplifies building RAG applications with diverse data sources.

Overview

LlamaIndex provides tools to ingest, structure, and retrieve data from various sources (web, DBs, files) and feed it into LLMs. It includes built-in retrieval algorithms like recursive retrieval and sub-query routing.

Best for

• Complex RAG pipeline orchestration
• Multi-source data integration
• Advanced retrieval strategies

Trade-offs

What XeroHack pre-wires

When you pick LlamaIndex in the interview, the engine emits these files into your scaffold:

• LlamaIndex Readme-Driven Dev
• Simple Vector Index Template