The Unstract Blog

A modern guide to extracting data from complex tables in a PDF. We’ll leverage Python text extraction libraries and OpenAI to achieve the extraction.

Extracting structured JSON from credit card statements using Langchain and Pydantic, and comparing this approach with a purpose-built environment like Unstruct’s Prompt Studio. The blog post delves into the advantages and disadvantages of each method.

Chunking involves splitting a large document into smaller parts. This process is crucial in the Retrieval-Augmented Generation (RAG) due to the context window size limitations of Large Language Models (LLMs).

Extracting text from PDFs often poses significant challenges, especially for applications in RAG, NLP, and large language models (LLMs). In this article, we delve into some challenges.

We have all seen the power of Large Language Models in the form of a GPT-based personal assistant from OpenAI

Unstract helps improve operational efficiency by automating critical insurance workflows in claims processing and underwriting.