LlamaIndex is the leading framework for building LLM-powered agents over your data with LLMs and workflows. It provides tools for data connectors, data indexes, query engines, chat engines, agents, observability, evaluation, and workflows.

Is LlamaParse Open Source?

LlamaParse is a commercial platform for automating document workflows, including agentic document parsing, extraction, and indexing. It is not open source, but offers 10k free credits a month. The core LlamaIndex and Workflows projects are open source.

How much does LlamaParse cost?

LlamaParse operates on a credit-based system, where 1,000 credits cost $1.25. A free plan includes 10K credits/month. Paid plans start at $50/month for 40K credits, with pay-as-you-go options and enterprise custom pricing available.

What can LlamaIndex agents do?

LlamaIndex agents can perform tasks like research, data extraction, question-answering (RAG), chatbot interactions, and multi-modal applications. They are designed to understand, reason, and act over your private or domain-specific data.

Does LlamaParse deploy on premises?

LlamaParse SaaS is cloud-hosted, with data encrypted in transit and at rest. For enterprises, it offers deployment in private VPCs across all cloud providers, ensuring data never leaves your tenant. It's available on AWS and Microsoft Azure marketplaces.

LlamaIndex

Open Source(MIT)

Developer-first framework

Open source

Advanced RAG capabilities

Document automation

Multi-agent support

Core building blocks for AI agents and document automation

Workflow

Coding

OpenAI

OPEN_SOURCE

ADVANCED Complexity

HYBRID

Last updated: Apr 15, 2026

llamaindex.ai

Quick Answer

LlamaIndex is an open-source framework for developers to build LLM-powered agents over their data. It offers advanced RAG, document processing, and workflow orchestration. It supports role-based agents, memory, and tool use with any LLM. Best for developers building production AI workflows and automating document-centric tasks. Free and open source for the core framework.

Decision Intelligence

Best For

Building LLM-powered agents for custom data sources

Automating complex document processing and extraction

Developing Retrieval-Augmented Generation (RAG) applications

Orchestrating multi-step AI workflows for enterprise automation

Accelerating product development for engineering and R&D teams

Not Ideal For

Non-technical users seeking a no-code agent builder

Simple, single-step automation tasks without complex data interaction

Users who prefer a fully managed, proprietary AI agent solution without customization

Organizations unwilling to invest in developer resources for implementation

Fit Score

Complexity

ADVANCED

Company Size

SOLO

SMALL

MEDIUM

ENTERPRISE

Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Skill Level

EXPERT

About LlamaIndex

LlamaIndex is an open-source framework for developers to build LLM-powered agents over their data. It provides tools for data ingestion, indexing, and querying, enabling advanced Retrieval-Augmented Generation (RAG) and multi-step AI workflows. The platform also offers commercial products like LlamaParse for enterprise-grade document processing.

What Makes LlamaIndex Unique

LlamaIndex offers a fully open agent framework with modular components for state, memory, and human-in-the-loop review, alongside industry-leading agentic OCR and document-specific AI workflows for complete enterprise automation.

Capabilities

Agentic OCR for document parsing

Structured data extraction with schema validation

Indexing and retrieval for RAG pipelines

Orchestrating multi-step AI workflows

Building conversational interfaces (chat engines)

Supporting multi-modal applications

Human-in-the-loop review for agent tasks

Tool use for external APIs and data sources

Task Categories

Coding

Document Processing

Data Extraction

Workflow Orchestration

Research

Customer Support

Data Analysis

Pros

+Provides a comprehensive framework for building sophisticated AI agents
+Offers best-in-class document parsing and extraction capabilities with LlamaParse
+Highly configurable and scalable for enterprise-grade performance
+Supports a wide array of LLMs, embeddings, and vector stores via connectors
+Features an event-driven, async-first workflow engine for flexible orchestration
+Backed by a large and active open-source developer community

Limitations

-Requires coding knowledge (Python/Typescript) for full utilization
-LlamaParse, the commercial document processing platform, is not open source
-Steep learning curve for beginners due to extensive customization options
-Building complex agentic workflows may require significant development effort

Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use6/10

Output Quality8/10

Value for Money7/10

Customization8/10

Support8/10

Integration8/10

Task Scores

Scalability

Agent Coordination

Task Delegation

Role Specialization

Communication Protocol

Parallel Execution

Observability

Human Oversight

Trust Score

85/100

Very Good

Based on 9 verified signals

Trust Signals

Verified CompanyLlamaIndex Inc.

Notable CustomersJeppesen (a Boeing Company), Carlyle, Salesforce +1

User Base100K-1M

Funding$27.5M

Team Size51-200

Status PageView

GDPR CompliantYes

SOC 2 CertifiedYes

Data ResidencyUS, EU

Switching & Migration

Migration Difficulty

Moderate Effort

Data portable as:

TEXT

MARKDOWN

JSON

XLSX

PDF

IMAGES

PAGE SCREENSHOT

STRUCTURED

CSV

Basic, Slack, Dedicated (Enterprise)

API Access

Open Source

npm41.2K/mo

PyPI9.8M/mo

Quick Stats

Agent TypeWorkflow

Memorylong term

Planningadvanced

CategoryCoding

PlatformsAPI, CLI

Reviews0

LaunchedJan 2022

Setup TimeMinutes to hours depending on complexity

Status

active

Company & Links

Company Name

LlamaIndex Inc.

Launched

January 2022

Documentation Changelog

LinkedIn Twitter/X Discord YouTube

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