# LlamaIndex

According to OpenAITools.app telemetry verified on 2026-11-11, LlamaIndex (llamaindex.ai) is an AI platform indexed under AI Assistant generating 387.91K monthly visits with a month-over-month traffic delta of +64.35K (+19.9%). Its primary geographic market is United States (27.8% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Dify (819.69K visits/mo), Agno (140.3K visits/mo), AnythingLLM (512.27K visits/mo).

Turn any document into AI-ready context with agentic parsing and extraction

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | LlamaIndex |
| Handle | llamaindex |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | llamaindex.ai |
| Website URL | https://www.llamaindex.ai |
| Categories | AI Assistant, AI Agent, AI Knowledge Management, AI Developer Tools, Large Language Models (LLMs), AI Document Extraction, AI Chatbot, Open Source AI Models, AI API |
| Pricing Model | Freemium, Contact for Pricing |
| Monthly Visits | 387,910 |
| MoM Traffic Change | 64,346 |
| MoM Growth Rate | +19.9% |
| Primary Market | United States |
| Market Share | 27.8% |
| Direct Visits | 119,194 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 30,402 |
| Email Visits | 8,315 |
| Review Score | 4.8 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Freemium; Pricing: Contact for Pricing |
| Tags | LLMs, Knowledge Assistants, Enterprise Data, Document Parsing, Data Extraction, Knowledge Management, Agent Framework, RAG, AI Agents, LlamaCloud, LlamaParse |

## Overview

LlamaIndex spans two complementary products. The open-source LlamaIndex and Workflows libraries give developers low-level and high-level building blocks for LLM applications, with a strong following (tens of millions of package downloads monthly). On top of that sits LlamaParse, the commercial agentic document processing platform that turns messy real-world documents into clean, structured, machine-readable data.

LlamaParse is designed for document types that break naive text extraction: dense multi-page tables, embedded charts and graphs, irregular layouts, scanned forms and handwritten notes. It routes content to specialized expert agents by content type, applies recursive auto-correction loops to catch and fix errors, and returns markdown, plain text, JSON, XLSX or HTML with layout detection and precise bounding boxes. Schema-based extraction agents turn unstructured documents into defined structured objects without model training, and Accuracy is tunable through multiple parse tiers — Cost Effective, Agentic and Agentic Plus — with Auto Mode routing pages to the cheapest tier that meets quality needs. The company also ships LiteParse, an open-source, VLM-free local parser for PDFs, Office docs and images.

Deployment options cover SaaS, hybrid and private VPC across major clouds, and LlamaParse is available on AWS and Azure marketplaces. Compliance includes SOC 2 Type II, GDPR and HIPAA, with 99.9% uptime and 130+ supported file formats across 80+ languages. Pricing is credit-based: a free tier with 10K credits per month (roughly 1,000 pages), pay-as-you-go at $1.50 per 1K credits, a Pro plan at $500/month with bonus credits and discounted $1.25 per 1K credits, and custom Enterprise pricing with higher rate limits, SSO and dedicated support.

## Pricing & Plans

Freemium with credit-based consumption. The free tier includes 10K credits per month (about 1,000 pages) for 100 users. Pay-as-you-go credits cost $1.50 per 1K credits. Pro is $500/month with discounted $1.25 per 1K credits, higher concurrency and priority Slack support. Enterprise is custom-priced with 5x rate limits, SSO, VPC or hybrid deployment and a dedicated account manager.

## Key Features & Capabilities

- **Agentic document parsing:** Content is routed to specialized expert agents for text, tables, charts and images, with recursive auto-correction loops that raise pass-through rates on messy scans and multi-modal documents.
- **Schema-based structured extraction:** Define the output schema you need and extraction agents return structured JSON per document, page or table row — with citations and confidence scores — without any model training.
- **Classify, split and index:** Categorize documents with natural-language rules, segment them into logical sections, and use enterprise-grade chunking and embedding pipelines optimized for retrieval precision.
- **Tunable accuracy and cost tiers:** Choose Cost Effective, Agentic or Agentic Plus parsing per page, or let Auto Mode route pages to the cheapest tier that satisfies your quality bar, saving up to 80%.
- **Open-source foundation:** The LlamaIndex framework, Workflows and the VLM-free LiteParse local parser are open source, so teams can build locally and scale on the managed platform when needed.

## Primary Use Cases

- **RAG pipelines over complex documents (AI engineer):** Feed financial filings, technical manuals or policy PDFs into retrieval systems that need accurate tables and layout preservation rather than flattened text.
- **Invoice and claims processing (Back-office automation lead):** Replace template-based legacy IDP with schema extraction that pulls line items, totals and vendor details from varied invoice and claim formats without per-vendor setup.
- **Due diligence and research review (Financial analyst):** Convert dense research reports, spreadsheets and charts into structured data that feeds downstream models and analyst workflows for faster compliance and diligence reviews.
- **Deployment with data residency (Enterprise platform owner):** Run LlamaParse in SaaS, hybrid or a private VPC on AWS, Azure or Google Cloud to satisfy data residency, network isolation and HIPAA/GDPR obligations.

## Strengths

- Best-in-class accuracy on complex tables, charts and handwriting compared with generic OCR and vision models
- Multiple parse tiers plus Auto Mode let teams trade off cost and accuracy per page
- Strong developer ecosystem via the open-source LlamaIndex and Workflows libraries
- Enterprise-ready: SOC 2 Type II, GDPR, HIPAA, VPC deployment and 99.9% uptime

## Limitations

- Credit-based pricing requires teams to model page volumes and tier choices to control spend
- The commercial LlamaParse platform itself is not open source; only the surrounding libraries are
- Pro tier at $500/month is a significant jump from free for small teams

## Frequently Asked Questions

### Is LlamaParse open source?
LlamaParse, including agentic parsing, extraction and indexing, is the commercial platform and is not open source. The LlamaIndex and Workflows libraries are open source, as is LiteParse, a VLM-free local parser for PDFs, Office documents and images.

### How much does it cost to parse a page?
It depends on the mode. Basic parsing can cost as little as one credit per page, while layout-aware agentic parsing with LLMs or vision models costs more for higher accuracy. Pay-as-you-go credits are $1.50 per 1,000, dropping to $1.25 per 1,000 on the Pro plan.

### Can LlamaParse run in my own environment?
Yes. Beyond the managed SaaS, enterprises can deploy in private VPCs across AWS, Azure and Google Cloud, and a hybrid deployment option is available. LlamaParse is also listed on the AWS and Azure marketplaces.

### What compliance certifications does LlamaParse hold?
LlamaParse is certified for SOC 2 Type II, GDPR and HIPAA, with granular access controls and encryption in transit and at rest. Cached data is retained for 48 hours by default and can be turned off entirely.

### What is LlamaIndex's monthly traffic and growth trend?
LlamaIndex currently receives 387.91K monthly visits, with a month-over-month traffic change of +64.35K (+19.9% growth rate). Its primary source market is United States (27.8% share), including 119.19K direct visits/mo and — organic search visits/mo.

### Is LlamaIndex free? What is its pricing model?
LlamaIndex operates on a Freemium, Contact for Pricing pricing model. Freemium with credit-based consumption. The free tier includes 10K credits per month (about 1,000 pages) for 100 users. Pay-as-you-go credits cost $1.50 per 1K credits. Pro is $500/month with discounted $1.25 per 1K credits, higher concurrency and priority Slack support. Enterprise is custom-priced with 5x rate limits, SSO, VPC or hybrid deployment and a dedicated account manager. Supported billing and checkout platforms include: not listed.

### What are the best LlamaIndex alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to LlamaIndex are: 1. Dify (819.69K visits/mo); 2. Agno (140.3K visits/mo); 3. AnythingLLM (512.27K visits/mo); 4. PDF.ai (387.82K visits/mo); 5. Nanonets (221.83K visits/mo).

### Which platforms and core AI capabilities does LlamaIndex support?
LlamaIndex is classified under AI Assistant, AI Agent, AI Knowledge Management, AI Developer Tools, supports the following platforms: Website, and its core capability tags include: LLMs, Knowledge Assistants, Enterprise Data, Document Parsing, Data Extraction, Knowledge Management.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | Freemium | [Compare](https://openaitools.app/compare/dify-ai-vs-llamaindex) |
| [Agno](https://openaitools.app/tool/agno) | 140,302 | Contact for Pricing, Free | [Compare](https://openaitools.app/compare/agno-vs-llamaindex) |
| [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | Freemium | [Compare](https://openaitools.app/compare/anythingllm-vs-llamaindex) |
| [PDF.ai](https://openaitools.app/tool/pdf-ai) | 387,819 | Freemium, Free Trial | [Compare](https://openaitools.app/compare/llamaindex-vs-pdf-ai) |
| [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/llamaindex-vs-nanonets) |
| [Airparser](https://openaitools.app/tool/airparser) | 34,705 | Freemium, Free Trial, Paid | [Compare](https://openaitools.app/compare/airparser-vs-llamaindex) |
| [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | Freemium | [Compare](https://openaitools.app/compare/llamaindex-vs-open-webui) |
| [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | Free, Freemium, Paid | [Compare](https://openaitools.app/compare/llamaindex-vs-ollama) |
| [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | Free | [Compare](https://openaitools.app/compare/librechat-vs-llamaindex) |
| [Cinnamon AI](https://openaitools.app/tool/cinnamon-ai) | 8,874 | Contact for Pricing | [Compare](https://openaitools.app/compare/cinnamon-ai-vs-llamaindex) |
| [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | Freemium | [Compare](https://openaitools.app/compare/chatgpt-4-vs-llamaindex) |
| [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | Freemium | [Compare](https://openaitools.app/compare/claude-2-vs-llamaindex) |

[LlamaIndex](https://discord.com/invite/eN6D2HQ4aX)

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Source: https://openaitools.app/tool/llamaindex