Frameworks

LlamaIndex

The data framework for LLM apps — connects agents to your own documents with best-in-class retrieval (RAG).

As of 1 November 2026, LlamaIndex ranks 3rd of 34 in Frameworks on the Agent Reality Index — scored 61.7 of 100, led by market demand.

#361.7Index / 100

Score breakdown

Market demand53
Developer adoption66
Real usage81
Momentum37
Production readiness51
Community66

Why this rank: the index weights market demand most heavily — how much LlamaIndex is actually searched for and asked about inside AI tools.

Real-world demand

4.9kGoogle searches / mo
108AI / LLM searches / mo
4.9kProduct-site visits / mo
56kGitHub stars
3482kPackage downloads / mo

Demand measured via Product-site traffic · confidence: high

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Common questions

LlamaIndex — frequently asked questions

What is LlamaIndex?

The data framework for LLM apps — connects agents to your own documents with best-in-class retrieval (RAG). It is tracked in the Frameworks category of the Agent Reality Index.

What is LlamaIndex's Agent Reality Index ranking?

As of 1 November 2026, LlamaIndex ranks 3rd of 34 in Frameworks, with an overall Agent Reality Index score of 61.7 of 100.

How is LlamaIndex scored?

The index blends six real-world signals — market demand (weighted most heavily), developer adoption, real usage, momentum, production-readiness, and community — into a 0–100 score, rather than relying on GitHub stars or vendor opinion.

Is LlamaIndex open source?

LlamaIndex is open source; its code is publicly available on GitHub.

How popular is LlamaIndex?

Measured 1 November 2026, LlamaIndex draws about 4.9k Google searches a month, around 108 AI and LLM searches, roughly 56k GitHub stars, about 3482k package downloads a month. Demand confidence is rated high.

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