llama-index-indices-managed-llama-cloud

llama-index indices llama-cloud integration

llama-index-indices-managed-llama-cloud Permissive license MIT Active v0.11.1 released 2026-03-25

Install

llama-index-indices-managed-llama-cloud on PyPI

pip

pip install llama-index-indices-managed-llama-cloud

uv

uv add llama-index-indices-managed-llama-cloud

poetry

poetry add llama-index-indices-managed-llama-cloud

Package facts

License	MIT (permissive)
Python support	supports the current Python release (<4.0,>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	2 — llama-cloud, llama-index-core
Maintenance	actively maintained — 141 days since the last release
First released	2024-02-16
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: llama_index_indices_managed_llama_cloud-0.11.1-py3-none-any.whl

About llama-index-indices-managed-llama-cloud

from the package's own PyPI description — quoted content, verbatim

LlamaCloud Index + Retriever

NOTE: This package has been deprecated and is no longer maintained. Please use the llama-cloud package instead.

LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications.

Currently, LlamaCloud supports

Managed Ingestion API, handling parsing and document management
Managed Retrieval API, configuring optimal retrieval for your RAG system

Access

We are opening up a private beta to a limited set of enterprise partners for the managed ingestion and retrieval API. If you’re interested in centralizing your data pipelines and spending more time working on your actual RAG use cases, come talk to us.

If you have access to LlamaCloud, you can visit LlamaCloud to sign in and get an API key.