Most enterprise RAG pipelines start the same way: a text parser converts web pages and documents into plain text so they can be chunked and indexed for retrieval. That conversion step destroys ...

Every enterprise AI pipeline has the same dirty secret: the first step is usually the worst. When a retrieval-augmented generation system needs to pull knowledge from a document or web page, it starts ...

LiteParse, developed by Llama Index, addresses common challenges in parsing complex documents, such as misaligned tables and inflexible layouts, by focusing on structured data extraction while ...

In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but the data ingestion pipeline. For ...

Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity. Lark can parse all context-free languages. To put it simply, it means that it is capable of parsing ...

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Microsoft has introduced an option to extract text from images with Snipping Tool. The feature will be available to all soon. The tool now ships with OCR (Optical Character Recognition) technology ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...