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Free plan + paidInformation reviewed 2026-10-15

LlamaIndex

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About this listing

Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.

Official source

Document-AI tools for parsing, structured extraction, indexing, and building source-based agent workflows.

Best suited to

LlamaIndex suits developers turning documents into usable context or structured records.

Meet LlamaIndex

LlamaIndex suits developers turning documents into usable context or structured records. Its ecosystem includes a developer framework and the commercial LlamaParse platform for document processing. Keep those offerings distinct: an open-source framework does not make the managed parsing service open source or remove model and infrastructure costs from an application.

A practical workflow

  1. Choose the managed document service or the appropriate framework setup.
  2. Submit a small permitted document and define the fields or retrieval task.
  3. Inspect parsed text, tables and extracted records against the source.
  4. Integrate only after testing missing values, errors and usage limits.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Extract invoice number, supplier, currency and total from a supplied invoice. Return a missing value when the source does not support a field.

Result check: Compare values with the original page and check table structure and decimal interpretation before downstream use.

Access and alternatives

LlamaParse has recurring free monthly credits and paid usage tiers. It is a commercial service, separate from the open-source framework. Parsing modes and extraction consume credits; applications may also incur model, database and hosting charges.

Choose another workflow when its emphasis fits better: RAGFlow for another document-grounded retrieval workflow; Langflow for visual composition of model and retrieval components.

Illustrative workspace photo
Illustrative stock photo from Unsplash; not a screenshot of LlamaIndex.

What you can do

Layout-aware document parsing

Schema-based extraction

Document indexing

Document agent workflows

Developer framework integrations

Where it helps

  • Document parsing and extraction support structured workflows
  • A schema makes required fields explicit
  • Framework options support custom application integration

What to consider

  • Managed parsing is credit-limited and not open source
  • Framework applications still need models and infrastructure

Pricing & free access

Official pricing
Free plan + paid

LlamaParse has recurring free monthly credits and paid usage tiers. It is a commercial service, separate from the open-source framework. Parsing modes and extraction consume credits; applications may also incur model, database and hosting charges.

Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.

Source for access details

Weekly AI tool changes in AI Agents & Workflows

One email a week with pricing and feature changes in this category. No per-tool price alerts.

Questions about LlamaIndex

Who is LlamaIndex useful for?

LlamaIndex suits developers turning documents into usable context or structured records. Its ecosystem includes a developer framework and the commercial LlamaParse platform for document processing. Keep those offerings distinct: an open-source framework does not make the managed parsing service open source or remove model and infrastructure costs from an application.

Does LlamaIndex have continuing free access?

LlamaParse has recurring free monthly credits and paid usage tiers. It is a commercial service, separate from the open-source framework. Parsing modes and extraction consume credits; applications may also incur model, database and hosting charges.

How should I start a small evaluation?

Choose the managed document service or the appropriate framework setup. Submit a small permitted document and define the fields or retrieval task.

What should I check in the result?

Compare values with the original page and check table structure and decimal interpretation before downstream use.

When should I choose a different workflow?

RAGFlow for another document-grounded retrieval workflow; Langflow for visual composition of model and retrieval components.

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Review evidence

Documentation-based review ยท 2026-10-15

Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.

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