LlamaIndex
An open-source framework focused on connecting LLMs to your own data — ingesting, indexing, and retrieving documents efficiently — often used as the retrieval half of a RAG pipeline, similar in spirit to LangChain but more data/indexing-focused.
Think of it like
Like a librarian who specializes purely in organizing and quickly retrieving the right book from a huge private collection, versus a general-purpose assistant that also does other tasks.
Junior or senior?
Junior sounds like
Says they 'used LlamaIndex' with no further detail.
Senior sounds like
Can describe the chunking or retrieval strategy they actually tuned, and why they changed it from the default.
Ask them
“What chunking or retrieval strategy did you end up tuning in a RAG pipeline, and what made you change it from the default?”