LlamaIndex
Open-source framework for building data-connected AI applications, with separate commercial parsing, extraction, and indexing services.
About this product
What it does
LlamaIndex provides open-source building blocks for connecting data to AI applications, including retrieval and agent workflows. Its commercial LlamaParse platform is separate: the current pricing page lists a free credit allowance and paid credit-based plans for document parsing, extraction, and indexing. The framework itself is not the same as unlimited free hosted document processing. Build a small retrieval set with known answers, measure citation accuracy, and account for parsing, embeddings, storage, and model calls in the total cost. Check the exact service selected, because capabilities and billing differ between the open-source libraries and cloud platform.
Editorial notes
LlamaIndex is valuable for teams building data-grounded AI, especially when documents need structured ingestion. Choose the framework and hosted platform separately; a local prototype does not forecast cloud processing costs. Test retrieval quality against real source documents before expanding usage.
Verify the latest features and limits on the official product or pricing page before subscribing.
Features
- Connects external data through readers and connectors
- Builds indexes and retrievers for retrieval-augmented generation
- Supports query engines and chat engines over indexed data
- Integrates with multiple language-model and vector-store providers
- Provides workflows and evaluation components
Launches and product updates
Product announcements submitted for editorial review before publication.
No launch updates have been published here yet.
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