InfoQ

Million PDFs: Building a Modern Document Infrastructure with Rust and Typst

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...
GitHub

SQL Injection Cheat Sheet by Netsparker.html

<li><a href="http://www.ngssoftware.com/papers/advanced_sql_injection.pdf">Advanced SQL Injection In SQL Applications</a>,&nbsp;<em>Chris Anley</em></li> <li><a href ...
Hacker

PDFs to Intelligence: How To Auto-Extract Python Manual Knowledge Recursively Using Ollama, LLMs

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...
VentureBeat

Databricks: 'PDF parsing for agentic AI is still unsolved' — new tool replaces multi-service pipelines with single function

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...
Hacker

Turn Your PDF Library into a Searchable Research Database with 100 Lines of Code

In this blog we will walk through a comprehensive example of indexing research papers with extracting different metadata — beyond full text chunking and embedding — and build semantic embeddings for ...
InfoWorld

Using PostgreSQL as a vector database in RAG

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
IEEE

M-SQL: Multi-Task Representation Learning for Single-Table Text2sql Generation

Abstract: Text2SQL can help non-professionals connect with databases by turning natural languages into SQL. Although previous researches about Text2SQL have provided some workable solutions, most of ...