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 ...
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 ...
InfoWorld

Review: Document parsing in AWS, Azure, and Google Cloud

Amazon Textract, Azure Form Recognizer, and Google Document AI can parse your unstructured documents and produce structured information for all kinds of digital transformation use cases. Records have ...
GitHub

An ETL project that compiles historical cryptocurrency prices from online sources into one SQL database

This project enables anyone to get historical and up-to-date price information at the 1-minute level of granularity for the two largest cryptocurrency projects at the moment, Bitcoin and Ethereum. The ...
GitHub

SQL in R - cheatsheet.R

# Easy - the syntax of SQL is similar to how we construct phrases. # Transportable - can be used within Python, SPSS, R, on its own... # Good for R - R can run in to memory issues if your data sets ...