LlamaExtract (Experimental)

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.

Getting Started

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"])

Examples

Several end-to-end examples can be found in the examples folder

• Getting Started

Documentation

https://docs.cloud.llamaindex.ai/