June updates in GeneXus Enterprise AI

The June 2024 update of GeneXus Enterprise AI brings several noteworthy features, including new models, support for Google Cloud Platform, and improvements in the RAG Assistants (chat with documents).

GeneXus announces a series of significant updates to its GeneXus Enterprise AI product, designed to facilitate the implementation of custom AI assistants at every stage of the development lifecycle.

GeneXus Enterprise AI is the advanced platform developed by GeneXus that facilitates the creation of custom AI assistants tailored to the specific needs of businesses. This product is revolutionizing the way software is developed and maintained. The results are evident: increased productivity and efficiency in both implemented solutions and work teams.

"These enhancements are a big step forward in our mission to facilitate the integration of advanced AI into enterprise solutions, increasing the efficiency and productivity of our customers," says Eugenio García, GeneXus Product Manager.

Here are the most notable updates for June:

Transition to Chat API
  • GeneXus Enterprise AI Proxy has been deprecated and replaced by Chat API, which acts as a single access point, eliminating the need to manage multiple SDKs or APIs.

Support for new LLMs
  • OpenAI: Integration of the new GPT-4o model.
  • Google Vertex: Compatibility with Gemini 1.0 Pro models, and previews of Flash Gemini 1.5-0514 and Gemini 1.5 Pro-0514.
  • Claude 3: Incorporation of Claude 3 Haiku, Claude 3 Opus, and Claude 3 Sonnet.

Improvements in the RAG Assistants
  • New option to initialize a new RAG Assistant based on the configuration of an existing one.
  • New option to export the document list in "View Documents" via a RAG Assistant.
  • Added filters to improve document exploration.
  • Partial support for SelfQuery RAG retriever for personalized messages.
  • Support for text-embedding-004 in Google models, optimizing embedding generation.

Support in Google Cloud Platform
  • GeneXus Enterprise AI now offers extended support for deployment on Google Cloud Platform, making it easier for companies to integrate and scale their AI solutions in the cloud. This way, the platform can be deployed based on Infrastructure as Code (IaC) on the three major cloud providers, namely AWS, Microsoft Azure , and now also Google Cloud Platform.