LlamaIndex

Open source

Open-source framework for LLM data retrieval and agents

LlamaIndex is an MIT-licensed open-source framework (Python/TypeScript) for RAG pipelines and data agents on top of LLMs; LlamaCloud adds hosted document parsing and extraction.

AI Platforms & Generative AIOpen sourceSelf-hosted
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CategoryAI Platforms & Generative AI
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Founded2023
Profile views20
Latest sourceSeptember 27, 2026
Overview

What is LlamaIndex?

LlamaIndex is an open-source framework, founded in 2023 by Jerry Liu and Simon Suo and headquartered in San Francisco, for building retrieval-augmented generation (RAG) pipelines and data agents on top of LLMs. The core library is MIT-licensed and available in Python and TypeScript, covering data ingestion, indexing, query engines and agent workflows. The company also runs LlamaCloud, a hosted platform including LlamaParse (document parsing) and LlamaExtract (structured extraction).

Read the full overview

Sources checked 27 September 2026: LlamaIndex, GitHub repository, documentation.

LlamaIndexAI Platforms & Generative AI

Open-source framework for LLM data retrieval and agents

Open sourceSelf-hostedOpen source
Why teams use it

Key capabilities

  • Core framework: open-source Python/TypeScript library for indexing, retrieval and query engines.
  • Agent workflows: primitives for building data-aware agents.
  • LlamaCloud (paid): hosted LlamaParse and LlamaExtract for parsing and structured extraction.
  • Integrations: connectors for common vector stores, LLM providers and data sources.
API access Open-source code Self-hosted deployment
Use cases

Where LlamaIndex fits

Test retrieval quality and parsing accuracy on your actual document formats before committing, since RAG quality depends heavily on chunking and embedding choices specific to your content. Check whether LlamaCloud's paid parsing is needed or the open-source ingestion connectors suffice.

Choose for your workload

Positioning and limitations

Choose LlamaIndex when the primary problem is getting your own documents and data into a form an LLM can query accurately, rather than general-purpose agent orchestration. It overlaps with LangChain in places, and teams sometimes use both together. LlamaCloud's parsing and extraction services are a separate paid layer on top of the free open-source library.

Why it matters

LlamaIndex's value is reducing the plumbing needed to connect LLMs to real data sources, not the LLM itself. Licensing and scope are drawn from the LlamaIndex GitHub repository and official documentation, checked 27 September 2026.

“Open-source framework for LLM data retrieval and agents”

Technical details

Access
Self-hosted
Source model
Open source
License
Verify license
Founded
2023
Headquarters
San Francisco, California, USA
Pricing model
Open source
API
Available
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What to verify

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  • Confirm current features, licensing and support terms.
  • Validate deployment, data location and access control.
  • Test integrations, exports and recovery workflows.
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Official resources

Documentation ↗Source code ↗
Official product resources

Explore LlamaIndex

Open-source framework for LLM data retrieval and agents

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  • Open source
  • Self-hosted
  • API available