Research & Knowledge Management · Preview

llama_index

LlamaIndex is the leading document agent and OCR platform

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot49k stars

7.4k forks · 1.9k contributors

Official first step Read manual preview Source repository

Preview status · 2026-05-16

What is llama_index?

LlamaIndex serves as the foundational layer for building AI applications that require sophisticated data ingestion, indexing, and querying capabilities. The framework enables developers to:
Best fit: Users who want source-backed project understanding before installing it.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
Evidence base: https://github.com/run-llama/llama_index, https://github.com/run-llama/llama_index, https://github.com/run-llama/llama_index#readme
Preview pages are noindex until English quality, canonical, and citation gates pass.
llama_index still needs sandbox verification before production use.

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

LlamaIndex is the leading document agent and OCR platform

Repositoryrun-llama/llama_index

49k stars · 7.4k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction to LlamaIndex

Related topics: Core Architecture, Quick Start Guide

Sources: [README.md:1-20](https://github.com/run-llama/llama_index/blob/main/README.md)

Quick Start Guide

Related topics: Introduction to LlamaIndex, Documents and Nodes

Sources: [llama-dev/README.md:11]()

Core Architecture

Related topics: Introduction to LlamaIndex, Integration Architecture

Sources: [llama-index-core/llama_index/core/base/llms/base.py:1-50]()

Integration Architecture

Related topics: Core Architecture, Retrieval and Reranking

Sources: [llama-index-integrations/llms/llama-index-llms-contextual/README.md](https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/llms/llama-index-llms-contextual/README.md)

Documents and Nodes

Related topics: Storage Systems, Query Engines

Source: https://github.com/run-llama/llama_index / Human Manual

Sources: https://github.com/run-llama/llama_index, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars49k stars

Forks7.4k forks

Contributors1.9k contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using llama_index with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
[Feature Request]: Built-in LLM Failover for Reliability
github / github_issue
02
[Feature Request]: add (detailed) usage info to raw when using Structure
github / github_issue
03
[Bug]: `thinking_delta` not populated on AgentStream events when thinkin
github / github_issue
04
[Bug]: [llama-index-core] async_acquire() in TokenBucketRateLimiter and
github / github_issue
05
[Question]: how to add human-in-the-loop capability to ReActAgent?
github / github_issue
06
Proposal: Agent Threat Rules detection integration for LlamaIndex
github / github_issue
07
Improve developer error message for unrecognized embedding names in `loa
github / github_issue
08
[Bug]: Bedrock Converse streaming produces string `tool_kwargs` in `Tool
github / github_issue
09
[Bug]: Breaking Image/Index node fetching behavior after refactor
github / github_issue
10
[Bug]: PydanticUserError: The `__modify_schema__` method is not supporte
github / github_issue
11
[Bug]: gemini-embedding-2 task instructions not implemented (task_type d
github / github_issue
12
v0.14.21
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install llama-index-core

Official start command · https://github.com/run-llama/llama_index#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

llama_index Manual

LlamaIndex serves as the foundational layer for building AI applications that require sophisticated data ingestion, indexing, and querying capabilities. The framework enables developers to:

Open the full manual

llama_index Human Manual
Table of Contents
Introduction to LlamaIndex
Related Pages
Overview
Core Architecture
Package Structure
Import Patterns

Introduction to LlamaIndex

Related topics: Core Architecture, Quick Start Guide

Sources: [README.md:1-20](https://github.com/run-llama/llama_index/blob/main/README.md)

Quick Start Guide

Related topics: Introduction to LlamaIndex, Documents and Nodes

Sources: [llama-dev/README.md:11]()

Core Architecture

Related topics: Introduction to LlamaIndex, Integration Architecture

Sources: [llama-index-core/llama_index/core/base/llms/base.py:1-50]()

Integration Architecture

Related topics: Core Architecture, Retrieval and Reranking

Sources: [llama-index-integrations/llms/llama-index-llms-contextual/README.md](https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/llms/llama-index-llms-contextual/README.md)

Documents and Nodes

Related topics: Storage Systems, Query Engines

Source: https://github.com/run-llama/llama_index / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start ManifestPROJECT_PACK.json

Preflight checks

Treat this preview as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
The preview remains noindex until English quality and reciprocal indexing gates are explicitly opened.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo

low

Review upstream issue

issue_or_pr_quality=unknown。

low

Review upstream issue

release_recency=unknown。