Use LlamaCloud Services to parse, index, and manage document knowledge pipelines that feed LlamaIndex retrieval and agent workflows.
Scanned 9/2/2026
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---
name: "Build managed document parsing pipelines with LlamaCloud Services"
slug: "build-managed-document-parsing-pipelines-with-llamacloud-services"
description: "Use LlamaCloud Services to parse, index, and manage document knowledge pipelines that feed LlamaIndex retrieval and agent workflows."
github_stars: 4250
verification: "security_reviewed"
source: "https://github.com/run-llama/llama_cloud_services"
author: "Run Llama"
publisher_type: "open_source_project"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "run-llama/llama_cloud_services"
github_stars: 4250
npm_package: "llama-cloud-services"
npm_weekly_downloads: 82956
---
# Build managed document parsing pipelines with LlamaCloud Services
Use LlamaCloud Services to parse, index, and manage document knowledge pipelines that feed LlamaIndex retrieval and agent workflows.
## Prerequisites
LlamaCloud Services client, LlamaCloud account/API access, documents or datasets to parse and index
## Installation
Requirements and caveats from upstream:
- **Python**: pip install llama-cloud>=1.0 ([GitHub](https://github.com/run-llama/llama-cloud-py))
Basic usage or getting-started notes:
- [](https://github.com/run-llama/llama_cloud_services/graphs/contributors)
- **TypeScript**: npm install @llamaindex/llama-cloud ([GitHub](https://github.com/run-llama/llama-cloud-ts))
- Source: https://github.com/run-llama/llama_cloud_services
- Extracted from upstream docs: https://raw.githubusercontent.com/run-llama/llama_cloud_services/HEAD/README.md
## Documentation
- https://github.com/run-llama/llama_cloud_services
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/build-managed-document-parsing-pipelines-with-llamacloud-services/)
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