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How AI technology addresses the unique documentation challenges medical evaluators face in legal analysis, from processing complex data sources to ensuring evaluation credibility
How advanced AI record reviews using latest models become the foundation for intelligent CoPilots, dynamic timelines, and complete workflow automation
Complete workflow automation for medical evaluation processes using AI to streamline how you actually work
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