

Docai
Overview :
docai is a model that leverages artificial intelligence to extract structured data from unstructured documents. It integrates Answer.AI's Byaldi, OpenAI's gpt-4o, and Langchain's structured output technology, significantly improving the efficiency and accuracy of document processing. This model primarily serves professionals in industries such as law, finance, and healthcare who need to handle and extract useful information from large volumes of documents.
Target Users :
The primary target audience consists of professionals who need to quickly extract key information from a vast array of documents, such as lawyers, accountants, and doctors. These users often face the challenge of reading and organizing large amounts of documentation, and docai can assist them in automating this process, saving time and enhancing work efficiency.
Use Cases
Legal industry: Extract key clauses and evidence from legal documents.
Finance industry: Extract financial data and trend analysis from financial reports.
Healthcare industry: Extract patient information and diagnostic results from medical records.
Features
Utilize Answer.AI's Byaldi technology for information extraction
Integrate OpenAI's gpt-4o model for natural language processing
Apply Langchain's structured output technology
Support data extraction from PDF files
Provide Python-based scripts for ease of use by developers
Support environment variable configuration for convenient API key management
How to Use
1. Ensure that OPENAI_API_KEY and HF_TOKEN are set in the environment.
2. Clone the docai repository to your local machine.
3. Follow the instructions in README.md to install the necessary dependencies.
4. Build the index: Run the script to create an index from the 'pdfs/' folder.
5. Extract information: Execute the extract.py script to view queries and the pydantic model.
6. Review output: Analyze the structured information extracted and process it further as needed.
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