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Databy LlamaIndex
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 today| 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
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