Here is an example of how to use the Tensorlake Python SDK to parse a research paper and extract key information. With this information,
build AI Agents that have more detailed and accurate information ready for natural language query engagement.
1
Prerequisites
- Get your Tensorlake API key
- Install the Tensorlake SDK with
pip install tensorlake
2
Import packages, setup client, and define file path
3
Define the schema
Define a Pydantic model to extract relevant information from the research paper.
4
Parse the document with the Python SDK
5
Review the output
The result will include the extracted data, all of the markdown chunks, and the entire document layout.The output will be:
Structured Data