Enterprise DNAEnterprise DNA

Open Source · RAG

LlamaIndex

by LlamaIndex

The data framework for LLM apps. RAG, ingestion, structured extraction, agents over your data.

Visit LlamaIndex ↗View repo ↗

Our verdict

Not reviewed yet

We have not reviewed LlamaIndex yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About LlamaIndex

LlamaIndex is the most-used framework for connecting LLMs to your data. Ingestion pipelines, vector stores, query engines, structured extraction, and an agent layer that reasons over the data layer. Python and TypeScript both first-class. Pairs with most vector databases and providers.

Best for

Teams whose agent value comes from their own data, not just the model

Use cases

  • Production RAG over a large corpus of internal docs
  • Structured extraction from messy PDFs and emails
  • Agents that query your data layer as a tool
  • Hybrid keyword + vector retrieval pipelines

Notes

Why it matters

Most agent value comes from the user's own data, not from the model. A data framework that handles ingestion, retrieval, and structured extraction is the difference between a demo and a production agent.

How teams use it in production

Start with a single corpus and a single query engine. Add structured extraction next. Only add the agent layer once the data layer earns its keep.

What to watch

The convergence between data frameworks (LlamaIndex), orchestration (LangGraph), and SDKs (Vercel AI) is the live question for how agent stacks ship in 2026.

Pros

  • Most-complete RAG framework in 2026
  • Strong structured extraction patterns
  • Provider-agnostic across vector stores and LLMs
  • Python and TypeScript both production-ready

Cons

  • Heavy framework, learning curve is real
  • API surface is wide, easy to over-engineer
  • Some abstractions are leaky on edge cases

Key facts

What we have checked

Latest version
0.14.25 (released 21 Sept 2026)
Checked GitHub
Days since the last commit
0
Checked GitHub
GitHub forks
8,530
Checked GitHub
GitHub stars
52,837
Checked GitHub
Days to a first reply on issues
0.4
Checked GitHub
Open issues
385
Checked GitHub
Releases in the last 90 days
2
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How LlamaIndex is growing

GitHub stars

52,321 to 52,837

stars. 26 Sept 2026 to 7 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is LlamaIndex looked after, and what do its setup files show

Health score

95 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases11.3 of 152 releases in 90 days
Issue replies20 of 20First reply in 0.4 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Alternatives

Alternatives to LlamaIndex

RecordTypeHow we knowChecked
EmbedchainThis is an alternative to itOpen sourceNamed in the listingNot dated
LangChainThis is an alternative to itAppNamed in the listingNot dated

Compare

Compare LlamaIndex side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.14.25

    Source: GitHub

  2. Released 0.14.24

    Source: GitHub

  3. Released 0.14.23

    Source: GitHub

  4. Released 0.14.22

    Source: GitHub

  5. Released 0.14.21

    Source: GitHub

  6. Released 0.14.20

    Source: GitHub

  7. Released 0.14.19

    Source: GitHub

  8. Released 0.14.18

    Source: GitHub

  9. Released 0.14.16

    Source: GitHub

  10. Released 0.14.15

    Source: GitHub

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

← Back to Open SourceSubmit your own entry →