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LlamaIndex

LlamaIndex Inc.

Open source★ #12 in Code Generation

Product status: Status not recorded

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

No status check date recorded

A published framework for connecting, indexing and querying data in LLM applications, separate from LlamaParse's hosted document services. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

Product preview

www.llamaindex.ai
Preview of LlamaIndex

Decision notes

Official-document research

Based on the cited documentation. We did not use the product, purchase a plan, or run quality, speed or reliability tests in this review.

Consider it for

  • Developers selecting a data-retrieval pipeline
  • Teams able to inspect document-processing costs and outputs

Choose another approach if

  • Assuming the MIT library includes hosted quotas
  • Sensitive documents without a confirmed applicable data agreement

Pricing and conditions

Documented terms

The MIT code has no license fee. LlamaParse cloud lists Free $0, Starter $50 and Pro $500/month with 10K/40K/400K included credits; 1K credits costs $1.25. Parsing mode, retrieval and retained storage add charges; Pro's advertised bonus is conditional and one-time. Fees are tax-exclusive; ISO currency, rollover, region-specific totals and account overages need confirmation.

Pricing source read:

Pricing or terms source

Code, model and service licensing

The framework's MIT permission does not license hosted services, model weights or third-party data. Cloud terms retain user ownership with a broad perpetual service-purpose content license and state no model training. They mention S3 retention up to 48 hours after processing, while current pricing docs also describe retained files without expiration and daily storage charges; do not apply the 48-hour sentence to every saved file. Usage data, feedback and provider integrations have separate treatment. Cloud competition/training restrictions and your order require review; they do not replace the MIT code license.

Basis and limits of the recorded score

The existing 4.6 score is retained; original scoring evidence was not recovered. This documentation review includes no parsing, retrieval benchmark or new score.

Overview

The LlamaIndex framework supplies connectors, indexing structures and retrieval/query interfaces for applications that combine a model with external data. Its MIT library can be used with selected integrations; LlamaParse's hosted Parse, Extract and Index services can be used with it or independently. The official repository says the company's primary focus has shifted toward LlamaParse and related parsing work, while the framework remains available. That is not a shutdown announcement.

Choose the data path before choosing a plan. Local orchestration can still call external models and storage, and paid document processing uses credits rather than the framework's code license. Define accepted document formats, an extraction-quality check, storage lifetime and a budget for the specific pipeline. No documents were uploaded or parsed for this review, and no completeness or competitive-quality result was measured.

Sources

The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.

Pros / Cons

Pros

  • Published MIT library and modular integrations
  • Framework and hosted processing can be selected separately
  • Documented credit units for hosted operations

Cons

  • External integrations add their own terms and costs
  • Processing, retrieval and retained storage can all consume credits
  • Public retention wording needs reconciliation for retained files

Who it's for

01

Building retrieval over an authorized corpus

02

Comparing local orchestration with hosted document processing

Bottom line

Choose the framework and hosted document pipeline as separate decisions, with quality, storage and usage costs checked on your documents.

Key Features

Data connectors and query interfaces
Configurable model and vector-store integrations
MIT framework source
Optional hosted document services

Tags

Data frameworkRetrievalDocument processing

Compare LlamaIndex with alternatives

Frequently asked questions

Is LlamaIndex currently available?

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

What is LlamaIndex?

LlamaIndex is a Code Generation tool developed by LlamaIndex Inc.. A published framework for connecting, indexing and querying data in LLM applications, separate from LlamaParse's hosted document services.

What costs and terms should I check for LlamaIndex?

The MIT code has no license fee. LlamaParse cloud lists Free $0, Starter $50 and Pro $500/month with 10K/40K/400K included credits; 1K credits costs $1.25. Parsing mode, retrieval and retained storage add charges; Pro's advertised bonus is conditional and one-time. Fees are tax-exclusive; ISO currency, rollover, region-specific totals and account overages need confirmation.

Is LlamaIndex open source?

The framework's MIT permission does not license hosted services, model weights or third-party data. Cloud terms retain user ownership with a broad perpetual service-purpose content license and state no model training. They mention S3 retention up to 48 hours after processing, while current pricing docs also describe retained files without expiration and daily storage charges; do not apply the 48-hour sentence to every saved file. Usage data, feedback and provider integrations have separate treatment. Cloud competition/training restrictions and your order require review; they do not replace the MIT code license.

What are the best alternatives to LlamaIndex?

Notable Code Generation alternatives include GitHub Copilot, Cursor, Replit Agent. Browse all 76 tools in our Code Generation category for a full overview.

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Basic Info

Pricing
Freemium

The MIT code has no license fee. LlamaParse cloud lists Free $0, Starter $50 and Pro $500/month with 10K/40K/400K included credits; 1K credits costs $1.25. Parsing mode, retrieval and retained storage add charges; Pro's advertised bonus is conditional and one-time. Fees are tax-exclusive; ISO currency, rollover, region-specific totals and account overages need confirmation.

Editorial score
★ 4.6 / 5 How we score
Platforms
LibraryCloudAPI
Last verified
Not recorded