llama-index-integrations/readers/llama-index-readers-readwise/README.md
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.
Here is an example usage of the Readwise Reader:
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:
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.