LlamaIndex
LlamaIndex is an open source framework for building retrieval-augmented generation and agent applications by connecting language models to external data: documents, databases and APIs. The core LlamaIndex library and Workflows are free and open source. The company also sells LlamaParse, a commercial document parsing platform with a free tier and paid plans from $50 a month, priced on a credit system.
Facts checked on against the sources listed at the end of this page.
- Pricing
- FreemiumPaid from $50 a month for the LlamaParse Starter plan
- Open source
- YesMIT
- GitHub stars
- 52,698+366 in the last 30 days
- npm downloads a week
- 159kup 6% on the week before
- Latest release
- v0.14.251 month ago
- Releases in 90 days
- 2about 1 a month
A good fit for
- Building retrieval-augmented generation applications over your own documents or data
- Parsing complex documents like PDFs into clean text for use in an LLM pipeline, via LlamaParse
- Developers who want a data-ingestion-first framework rather than a broad orchestration framework
- Projects already using a specific vector database that LlamaIndex has a connector for
Not a good fit for
- Teams that want a single, broad orchestration framework for many kinds of agent workflows beyond data retrieval, where LangChain may fit better
- High-volume document parsing on a tight budget, where LlamaParse's credit-based pricing needs to be checked against your document volume
- Projects that don't need retrieval or external data connected to their LLM calls
LlamaIndex pricing
The LlamaIndex framework and Workflows are free and open source. LlamaParse, the commercial document parsing platform, has a free tier with 10,000 credits, a Starter plan at $50 a month, a Pro plan at $500 a month, and custom Enterprise pricing, billed on a credit system where 1,000 credits cost $1.25.
| Plan | Price | What you get |
|---|---|---|
| LlamaIndex framework | $0, open source | Data connectors, indexing, retrieval and Workflows under the MIT license. |
| LlamaParse Free | $0 a month | 10,000 credits, up to 100 users, basic support. |
| LlamaParse Starter | $50 a month | 40,000 credits included, pay-as-you-go up to 400,000 credits. |
| LlamaParse Pro | $500 a month | 400,000 credits included, pay-as-you-go up to $5,000 a month, priority support. |
| LlamaParse Enterprise | Custom pricing | Volume credit discounts, 5x higher rate limits, enterprise SSO, dedicated account manager. |
Prices in USD, checked on 27 September 2026. Current prices on llamaindex.ai.
Main features
- Data connectors
- Load data from documents, databases, APIs and other sources into an LLM-ready index.
- Indexing and retrieval
- Build vector, keyword or hybrid indexes over your data for retrieval-augmented generation.
- Workflows
- An open source framework for building multi-step, event-driven LLM and agent pipelines.
- LlamaParse
- A commercial document parsing service that converts PDFs and other complex files into structured text and tables.
- Query engines
- Prebuilt patterns for querying an index and combining results with an LLM's response.
- Integrations
- Works with most major LLM providers and vector databases through a common interface.
About LlamaIndex
LlamaIndex provides tools for loading, indexing and querying your own data with a language model, commonly used to build retrieval-augmented generation (RAG) systems where an LLM answers questions grounded in a specific set of documents or data sources.
The core library and Workflows, its framework for building agent and multi-step LLM pipelines, are open source under the MIT license and free to use. The company separately sells LlamaParse, a commercial document parsing service that converts complex files such as PDFs into clean, structured text for use in RAG pipelines, billed on a credit system.
LlamaIndex integrates with most major LLM providers and vector databases, and is frequently compared with LangChain, a broader orchestration framework that LlamaIndex overlaps with on agent features but differs from in its stronger focus on data ingestion and retrieval.
- Made by
- LlamaIndex, Inc.
- Free plan
- Yes: the LlamaIndex framework is free and open source; LlamaParse has a free tier with 10,000 credits
- Available on
- Python, TypeScript, Works with most major LLM providers and vector stores
Usage and activity
Weekly npm downloads of llamaindex, last 12 months.
Recent releases
LlamaIndex alternatives
LlamaIndex compared
Questions about LlamaIndex
Is LlamaIndex free?
Yes, the LlamaIndex framework and Workflows are open source under the MIT license. LlamaParse, the commercial document parsing platform, is separate and has paid tiers starting at $50 a month after a free 10,000-credit tier.
What is LlamaParse?
LlamaParse is LlamaIndex's commercial service for parsing complex documents like PDFs into clean, structured text and tables for use in retrieval-augmented generation pipelines.
LlamaIndex vs LangChain, what's the difference?
LlamaIndex focuses more specifically on connecting LLMs to your own data through indexing and retrieval, while LangChain is a broader framework for chains, agents and tool orchestration. Both now offer overlapping agent features.
What languages does LlamaIndex support?
Official libraries exist for Python and TypeScript.
Sources and links
Work on LlamaIndex? Claim this listing. Something wrong or out of date? Suggest a correction. Stats come from the public GitHub and npm APIs and update every day.