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LangChain and LlamaIndex Packsby run-llama

LlamaParse

LlamaParse is a LangChain pack for pdf tools and forms, published by run-llama.

GenAI-native document parser that extracts tables, figures, and structured data from complex PDFs for downstream RAG.

View LlamaParse source
Skill score
9.2/ 10
High qualityProvisional

Is it any good?

Effectiveness · benchmark pending

We haven't benchmarked LlamaParse yet, so its score is provisional — computed from safety, maintenance, and documentation only, with popularity given no weight. When we benchmark it, we measure whether it produces materially better output than a frontier model alone, and that result leads the score. How we measure.

About LlamaParse

Description · AI-summarised from the run-llama README

LlamaParse (part of llama_cloud_services) is LlamaIndex's parsing engine for messy, multi-modal documents — financial filings, research papers, scanned forms. It handles tables, charts, and layouts that conventional PDF tools mangle and feeds clean output into vector indexes.

Where it fits

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Install LlamaParse

Install

Install via LangChain pack

pip install run-llama-llama-parse

Install with your AI

Zero install · paste into ChatGPT, Claude, Cursor…

Install the "LlamaParse" skill into my project by following all instructions at https://skillsdirectory.co/s/llama-parse

Your assistant reads /s/llama-parse and follows it — fetching the files from the source, placing them, and confirming before it runs anything. No account needed. How this works.

Frequently asked

FAQ

What does LlamaParse do?

GenAI-native document parser that extracts tables, figures, and structured data from complex PDFs for downstream RAG.

How do I install LlamaParse?

LlamaParse is a LangChain pack. Primary install path: pip install run-llama-llama-parse

What is the Skill Score for LlamaParse?

LlamaParse has a Skill Score of 9.2/10 (High Quality). It is currently a provisional score — LlamaParse hasn't been benchmarked yet, so it weights safety 95/100 (40%), maintenance 92/100 (30%), and documentation 83/100 (30%). Popularity carries zero weight until effectiveness is measured. See methodology.

Is LlamaParse free?

LlamaParse is published under the MIT license. See the vendor's source repository for any usage limits or paid tiers.

Related skills in PDF tools and forms

Related

Embed this score

For maintainers · always-current, links back

Skill Score badge for LlamaParsePut it in your README — it updates as the score changes.
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Last updated May 18, 2026License: MITHow we score

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