Loading from LlamaParse

LlamaParse, the hosted document platform from the LlamaIndex team (previously called LlamaCloud), can parse, index and query your data in a fully managed environment. Its Index product connects to your data sources, keeps the index in sync and serves retrieval, and the framework talks to the first version of it through LlamaCloudIndex.

This integration targets the earlier version of Index

LlamaCloudIndex ships in llama-cloud-services, a package that is deprecated and no longer updated, and it talks to the first version of Index. Installing it pins an old release of llama-cloud, so it cannot share an environment with the current llama-cloud SDK. For new projects, use Index v2 through the llama-cloud SDK.

Using LlamaParse from LlamaIndex

You can use Index to connect to your data stores and automatically index them. Once an index is created, you can use it in just a few lines of code:

pip install llama-index llama-cloud-services

import os
from llama_cloud_services import LlamaCloudIndex

os.environ["LLAMA_CLOUD_API_KEY"] = "llx-..."

index = LlamaCloudIndex("my_first_index", project_name="Default")
query_engine = index.as_query_engine()
answer = query_engine.query("Example query")

It’s also possible to load documents into an index programmatically; see the documentation for that version of Index and the LlamaCloudIndex guide for details.