Metadata-Version: 2.4
Name: llama-index-readers-readwise
Version: 0.5.0
Summary: llama-index readers readwise integration
Author-email: Your Name <you@example.com>
Maintainer: alexbowe
License-Expression: MIT
License-File: LICENSE
Keywords: highlights,pkm,reading,readwise
Requires-Python: <4.0,>=3.10
Requires-Dist: llama-index-core<0.15,>=0.13.0
Description-Content-Type: text/markdown

# Readwise Reader

```bash
pip install llama-index-readers-readwise
```

Use Readwise's export API to fetch your highlights from web articles, epubs, pdfs, Kindle, YouTube, and load the resulting text into LLMs.

## Setup

1. Get your Readwise API key from [readwise.io/access_token](https://readwise.io/access_token).

## Usage

Here is an example usage of the Readwise Reader:

```python
import os
from llama_index.core import VectorStoreIndex, download_loader

from llama_index.readers.readwise import ReadwiseReader

token = os.getenv("READWISE_API_KEY")
loader = ReadwiseReader(api_key=token)
documents = loader.load_data()
index = VectorStoreIndex.from_documents(documents)

index.query("What was the paper 'Attention is all you need' about?")
```

You can also query for highlights that have been created after a certain time:

```python
import os
import datetime
from llama_index.core import VectorStoreIndex, download_loader

from llama_index.readers.readwise import ReadwiseReader

token = os.getenv("READWISE_API_KEY")
loader = ReadwiseReader(api_key=token)
seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7)
documents = loader.load_data(updated_after=seven_days_ago)
index = VectorStoreIndex.from_documents(documents)

index.query("What has Elon Musk done this time?")
```

This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).
