The outcome

Get into the official LlamaIndex experience with the right account and a setup you understand.

LlamaIndex is a open-source data framework for retrieval-augmented generation and agent workflows. Loading and indexing private data, building source-grounded retrieval applications, composing workflows and agents, and evaluating retrieval and response quality. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Start at https://www.llamaindex.ai/ and confirm the domain before entering account or payment information.

  2. 02

    For desktop use, follow the official download link. Current availability: LlamaIndex is installed as Python or TypeScript packages and used in an application development environment..

  3. 03

    A supported programming runtime, model and embedding access, a controlled source corpus, and storage or vector infrastructure appropriate to the workload.

  4. 04

    Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

  5. 05

    Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

Working standard

What good use looks like.

  • Use official download pages.
  • Review permissions during setup.
  • Keep installers and applications updated.

RAG can retrieve irrelevant, stale, private, or malicious content and still produce fluent answers. Enforce access during retrieval, sanitize sources, preserve citations, separate retrieval and response evaluation, and protect traces and model credentials.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.