LlamaExtract is an API created by LlamaIndex to efficiently infer schema and extract data from unstructured files.
LlamaExtract directly integrates with LlamaIndex.
Note: LlamaExtract is currently experimental and may change in the future.
Read below for some quickstart information, or see the full documentation.
First, login and get an api-key from https://cloud.llamaindex.ai ↗.
Install the package:
pip install llama-extract
Now you can easily infer schemas and extract data from your files:
import nest_asyncio
nest_asyncio.apply()
from llama_extract import LlamaExtract
extractor = LlamaExtract(
api_key="llx-...", # can also be set in your env as LLAMA_CLOUD_API_KEY
num_workers=4, # if multiple files passed, split in `num_workers` API calls
verbose=True,
)
# Infer schema
schema = extractor.infer_schema(
"my_schema", ["./my_file1.pdf", "./my_file2.pdf"]
)
# Extract data
results = extractor.extract(schema.id, ["./my_file1.pdf", "./my_file2.pdf"])Several end-to-end examples can be found in the examples folder