LlamaIndex
Parse, structure, index, and serve documents as RAG or document agents.
Category: Development & Code · Agent & RAG frameworks
Features
LlamaIndex is an open-source framework for RAG, data connectors, and agents in Python and TypeScript. LlamaCloud supplements the framework with hosted services: LlamaParse for structured document extraction, indexing, classification, and deployable Document Agents. The framework is free; LlamaCloud plans start at free and scale to Enterprise. All prices are in the pricing overview.
- Open-source framework for RAG (Retrieval-Augmented Generation), data connectors, and agents
- LlamaParse: structured extraction from PDFs and complex documents
- LlamaCloud service with indexing, classification, and deployable Document Agents
- Python and TypeScript SDKs (Software Development Kits) available
Prices and plans
| Tier | Price | Period | What you get |
|---|---|---|---|
| LlamaIndex open source | free | Self-hosted | RAG, agent, and data framework No LlamaIndex run quota Own LLM, embedding, vector DB, and hosting costs Python and TypeScript ecosystem |
| LlamaCloud Free | free | Month | 10,000 credits/month About 1,000 parsing pages according to the vendor Agentic OCR and structured extraction 5 concurrent parse, extract, and classify jobs 5 indexes with 50 files each, 1 project External data sources via file upload only Community support |
| LlamaCloud Starter | $50 | Month | 40,000 credits/month included Pay-as-you-go up to 400,000 credits or $500/month List price $1.25 per 1,000 credits 5 concurrent parse, extract, and classify jobs 50 indexes with 500 files each, 1 project Basic email support |
| LlamaCloud Pro | $500 | Month | 400,000 credits/month included Pay-as-you-go up to $5,000/month 20 concurrent parse, extract, and classify jobs 100 indexes with 2,000 files each, 5 projects Priority support via Slack Connect Limited-time one-time bonus of 800,000 credits worth $1,000, business email domains only |
| Enterprise | contact sales | Contract | Custom credit volumes with volume discount 5x higher rate limits Enterprise SSO and MFA SaaS or hybrid cloud deployment 100 concurrent jobs per job type Dedicated account manager |
Limits
LlamaCloud publishes a list price of $1.25 per 1,000 credits. Free includes 10,000 credits. Starter includes 40,000 credits and costs $50. Pro includes 400,000 credits and costs $500. The vendor estimates that 10,000 credits cover roughly 1,000 typical parsing pages. For Extract, Cost Effective costs 5 credits per page. Agentic costs 15 credits per page. Agentic Plus costs 50 credits per page. High-confidence scoring can add 5 credits per page. Framework, LLM, and vector-database costs are separate.
Similar tools
FAQ
Is LlamaIndex available for free?
Yes. A permanently free plan is published, not a time-limited trial. 10,000 credits/month ≈ about 1,000 typical parsing pages.
Where is LlamaIndex's vendor based?
LlamaIndex, Inc., based in USA. For data processing and privacy terms the vendor's own contract governs.
Is LlamaIndex still active?
Active open-source framework and active LlamaCloud document/agent services.
How many plans are documented for LlamaIndex?
The catalog documents 5 plans with price, billing period, and included features.
Which use case is LlamaIndex categorized for?
LlamaIndex is listed in the catalog under “Development & Code.”
Where do the details about LlamaIndex come from?
Prices, limits, and product details are documented against the listed official vendor page.
How we compare
We compare free access, paid entry, plan limits, features and the listed official sources. Unsourced figures stay marked as not published.
Only confirmed entries appear in the catalog. Prices, plans and limits come from listed official vendor pages. Missing figures stay marked as not published. Result lists are alphabetical by default and can be switched to Free access first; neither is a quality ranking. The vendor page always wins.
Edited and checked by the AI Compare team
Sources
- https://www.llamaindex.ai/pricing
- https://www.llamaindex.ai/
- https://developers.api.llamaindex.ai/getting-started/
- https://developers.api.llamaindex.ai/api/python/resources/configurations/methods/retrieve/
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