Parsera is a simple and fast Python library for scraping websites using Large Language Models (LLMs). It's designed to be lightweight and minimize token usage for speed and cost efficiency.
This article explores the use of large language models (LLMs) for document parsing, offering a more powerful and flexible alternative to traditional methods like regular expressions. It discusses the workflow involved in processing documents like research papers using LLMs, highlighting the benefits and advantages of this approach.
Triplex is an open-source model that efficiently converts unstructured data into structured knowledge graphs at a fraction of the cost of existing methods. It outperforms GPT-4o in both cost and performance, making knowledge graph construction more accessible.
