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https://github.com/run-llama/llama_cloud_services

Parse files for optimal RAG
https://github.com/run-llama/llama_cloud_services

document document-parser document-parsing docx-to-markdown parsing pdf pdf-document-processor pdf-to-excel pdf-to-json pdf-to-markdown pdf-to-text ppt ppt-to-json ppt-to-markdown pptx structured-data tables

Last synced: about 10 hours ago
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Parse files for optimal RAG

Host: GitHub
URL: https://github.com/run-llama/llama_cloud_services
Owner: run-llama
License: mit
Created: 2024-01-31T18:33:07.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2025-02-06T23:40:19.000Z (5 days ago)
Last Synced: 2025-02-07T00:05:37.704Z (5 days ago)
Topics: document, document-parser, document-parsing, docx-to-markdown, parsing, pdf, pdf-document-processor, pdf-to-excel, pdf-to-json, pdf-to-markdown, pdf-to-text, ppt, ppt-to-json, ppt-to-markdown, pptx, structured-data, tables
Language: Python
Homepage: https://www.llamaindex.ai
Size: 38.5 MB
Stars: 3,647
Watchers: 25
Forks: 352
Open Issues: 210
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome - run-llama/llama\_cloud\_services - Knowledge Agents and Management in the Cloud (Python)

README

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[![Discord](https://img.shields.io/discord/1059199217496772688)](https://discord.gg/dGcwcsnxhU)

# Llama Cloud Services

This repository contains the code for hand-written SDKs and clients for interacting with LlamaCloud.

This includes:

- [LlamaParse](./parse.md) - A GenAI-native document parser that can parse complex document data for any downstream LLM use case (Agents, RAG, data processing, etc.).

- [LlamaReport (beta/invite-only)](./report.md) - A prebuilt agentic report builder that can be used to build reports from a variety of data sources.

- [LlamaExtract (coming soon!)]() - A prebuilt agentic data extractor that can be used to transform data into a structured JSON representation.

## Getting Started

Install the package:

```bash

pip install llama-cloud-services

```

Then, get your API key from [LlamaCloud](https://cloud.llamaindex.ai/).

Then, you can use the services in your code:

```python

from llama_cloud_services import LlamaParse, LlamaReport

parser = LlamaParse(api_key="YOUR_API_KEY")

report = LlamaReport(api_key="YOUR_API_KEY")

```

See the quickstart guides for each service for more information:

- [LlamaParse](./parse.md)

- [LlamaReport (beta/invite-only)](./report.md)

- [LlamaExtract (coming soon!)]()

## Documentation

You can see complete SDK and API documentation for each service on [our official docs](https://docs.cloud.llamaindex.ai/).

## Terms of Service

See the [Terms of Service Here](./TOS.pdf).

## Get in Touch (LlamaCloud)

You can get in touch with us by following our [contact link](https://www.llamaindex.ai/contact).