Brought to you by the people who teach, mentor, and lead med-legal, claims, and risk.
How AI record review turns thousands of pages into a cited chronology you can question, and what still has to happen after the reading is done
How a single case moves through record review, the claimant interview, and the finished report, and exactly what is automated at each of the three steps
IME report analysis for QME and IME work, testing a finished report for completeness, consistency, and support in the record it cites
Announcing OmniAI 2.0 - An LLM-Agnostic Ruby Library for Seamless AI Integration
Open up your app to LLMs with GraphQL.
A guide to converting a PDF into Markdown using OmniAI with OpenAI and MuPDF.
OmniAI now supports tools in LLM integrations using Anthropic, Google, Mistral, and OpenAI.
OmniAI now supports the generation of embeddings for both Mistral and OpenAI. In conjunction with pgvector, this is an excellent option for indexing and searching data to pass through an LLM prompt within a Ruby on Rails application.
OmniAI introduces the ability to generate complex prompts in Ruby with a prompt builder.
OmniAI now ships with a built-in CLI, making it easier than ever to use OpenAI’s ChatGPT, Google’s Gemini, Anthropic’s Claude, or Mistral’s LeChat.
An LLM Agnostic Ruby Library for OpenAI’s ChatGPT, Google’s Gemini, Anthropic’s Claude Mistral’s LeChat, and More!
Using a ChatGPT Assistant to Search Files (PDFs, DOCX, HTML and more) with Python
Using ChatGPT to Convert HTML to JSON