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LlamaIndex

AI InfrastructureVerified95% conf

A retrieval-augmented generation (RAG) framework that connects private data to large language models

llamaindex.ai

📍 San Francisco, CA

Verified Data

💰
Revenue$10.9M ARR
🔗getlatka.com
🚀
Funding$27.5M total, $19M Series A
🔗llamaindex.ai
📊
Monthly Traffic100K-200K monthly visitors
🔗analytics.explodingtopics.com
👥
Users200,000+ LlamaCloud users, 4M+ monthly downloads

users: 200,000+ on LlamaCloud, downloads: 4 million+ monthly package downloads

🧑‍💻
Team Size92 employees

count: 92, date: March 2026

📈
Growth34k+ GitHub stars, 4M monthly downloads
🔗github.com
🏷️
StageSeries A (March 2025)
📅
Founded2022

Company Profile

ModelOpen-core SaaS
VerticalAI/ML, Enterprise data, Developer tools
ClientsRakuten Group, The Carlyle Group, Salesforce, Nvidia, KPMG
BuyersEnterprise AI developers, data science teams, and R&D departments at global software companies
PricingFree tier (1K pages/mo), Starter $50/mo, Pro $500/mo, Enterprise custom

Contact

Strategic Analysis

Strategy

Open-core model with free open-source framework driving adoption, monetizing through LlamaCloud managed services and LlamaParse API. Targeting enterprise AI developers with focus on document processing and RAG applications. Land-and-expand strategy within engineering and data science teams.

Tactics

Developer-first growth through open-source community building and GitHub presence (34k+ stars). Content marketing via technical blog posts and newsletters. Freemium model with generous free tiers to drive initial adoption. Conference presence and enterprise sales for larger accounts.

Competitive Positioning

Positioned as the leading open-source RAG framework against proprietary solutions like OpenAI's retrieval tools and Pinecone. Differentiates on flexibility, customization, and hybrid deployment options. Competes with LangChain in the open-source space but focuses specifically on retrieval and document processing.

Marketing Approach

Developer community-led growth through open-source contributions and technical content. Newsletter and blog-driven education on RAG best practices. GitHub and social media presence for developer mindshare. Enterprise sales motion for larger customers with custom needs.

Notable

34k+ GitHub stars, powers AI applications for major enterprises including Salesforce and Nvidia

🔗 Source ↗

Tech Stack

PythonPythonTypeScriptTypeScriptJavaScriptJavaScriptReactReactNext.jsNext.jsDockerDockerKubernetesKubernetesTerraformTerraformAWSAWSGoogle Cloud Run

Recent News

Related AI Infrastructure Companies

Discovery Sources

Signals

web traffic100K-200K monthly visitors🔗 source ↗
growth rate34k+ GitHub stars, 4M monthly downloads🔗 source ↗
team size92 employees

count: 92, date: March 2026

user count200,000+ LlamaCloud users, 4M+ monthly downloads

users: 200,000+ on LlamaCloud, downloads: 4 million+ monthly package downloads

funding raised$27.5M total, $19M Series A🔗 source ↗
revenue claim$10.9M ARR🔗 source ↗
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Evidence

techcrunch.com

Meta's Llama models are open generative AI models designed to run on a range of hardware and perform a range of different tasks.

llama.gs

70 percent of UK business leaders will keep spending on AI even when they can’t prove it does anything

venturebeat.com

Liu’s LlamaIndex is one of the foremost retrieval-augmented generation (RAG) frameworks.

getlatka.com

$10.9M ARR

llamaindex.ai

$27.5M total, $19M Series A

github.com

34k+ GitHub stars, 4M monthly downloads

analytics.explodingtopics.com

100K-200K monthly visitors