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Databy LlamaIndex

LlamaIndex

Name: LlamaIndex
Author: LlamaIndex

$50/mofree tier available

Data framework for LLM applications

LlamaIndex is an open-source data framework that connects large language models to external data sources through retrieval-augmented generation (RAG). It provides tools for data ingestion, indexing, and retrieval, enabling developers to build agentic AI systems, knowledge assistants, and document-based applications. The platform offers both a free open-source framework (Python and TypeScript SDKs) and LlamaCloud, a managed platform with advanced document parsing and extraction services. LlamaIndex includes LlamaParse for intelligent document OCR, LlamaHub with 300+ integrations, and Workflows for multi-step agentic orchestration.

Who it's for

developers

Pricing · freemium

checked Jul 22, 2026

Plan	Price	Includes
Free (OSS Framework)	Free	Open-source framework available on GitHub · Full Python and TypeScript SDK access · Includes data connectors and indexing · Community-supported features · No credit card required to start
LlamaCloud Starter	$50 /mo	Entry-level managed platform for small teams and projects · Includes base monthly credits · Credit-based billing for document parsing ($0.00125-$0.05625 per page depending on complexity) · Support for multiple users and larger datasets
LlamaCloud Pro	Free	Higher monthly credit allocation (up to 400,000 credits) · Advanced features and parsing tiers · Volume-based pricing structure · Suitable for growing teams
Enterprise	Free	Custom pricing and volume discounts on credits · Dedicated support with fast response times and SLAs · VPC deployment and data residency compliance · HIPAA, GDPR, and SOC2 compliance · Priority infrastructure and always-on document processing

AI-researched pricing — verify on the official site before subscribing.

Use it for

— Building knowledge-augmented chatbots and conversational AI
— Automating document-heavy business processes
— Financial document analysis and extraction
— Legal and compliance search systems
— Customer support automation
— Internal knowledge base creation
— Document parsing and OCR at scale
— Multi-step agentic workflows
— Structured data extraction from unstructured documents
— Medical records analysis and healthcare automation

Get the most out of it

01Start with the free open-source framework to prototype your RAG application in just 5 lines of code before committing to paid services
02Use LlamaCloud's credit-based pricing carefully by monitoring document volume and complexity—budget for parsing costs that vary significantly by document type and parsing tier
03Leverage the 300+ LlamaIndex integrations (LlamaHub) to connect with your existing LLMs, vector stores, and data sources without rebuilding infrastructure
04Implement LlamaParse for complex documents (PDFs, images, tables) where standard OCR fails, especially for production applications requiring high accuracy
05Build multi-step agents incrementally—start with simple query engines and graduate to Workflows as your automation needs grow beyond single-query patterns

Visit LlamaIndex

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