How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
No Jitter

Box Extract aims to deliver context for data

Data without context is fragmented — it cannot be used to effectively train AI agents or set up an appropriate workflow for ...

Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Judge orders Anna’s Archive to delete scraped data; no one thinks it will comply

The operator of WorldCat won a default judgment against Anna’s Archive, with a federal judge ruling yesterday that the shadow ...
IEEE

Contextual Compression of Unstructured Resumes using VectorStore-Based Retrieval Augmented Generation

Abstract: Extracting structured data from unstructured resumes and CVs is an intricate & extremely difficult task and it is also prone to mistakes especially during the Application Tracking System ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
The York Dispatch

Questa launches a new privacy focused AI Assistant to get insights from business files without any AI Training on them

After the Blackbox anonymization, users can query and find deeply intelligent answers in their own excel, word or pdf files using Novara. Users can also generate reports from unstructured documents in ...