Eclipse SageTea Runtime

Eclipse SageTea Runtime contains:

• Smalltalk based source code for the development of Object-Oriented software written primarily in Squeak Smalltalk

• Smalltalk based source code for the development of Low Code AI Software to be included in other Eclipse Software Projects

• Smalltalk based source code for the SAGETEA Postgresql database (for new RAG implementations)

In the scope of the project: 

Adoption of WASM and associated APIs and tools

WASM is the new industry standard portable virtual machine which supports multiple languages with interoperability. It provides a robust security and language neutral component model addressing a major concern with todays browser-based applications . Google, Microsoft, Cloudflare have made significant investments in WASM and WAS.
 

Leveraging AI to Solve Historical Challenges

AI's advancements unlock solutions to challenges previously unsolvable for SageTea. Notably:
1. AI-Based Agents for Actions: The long-standing challenge of implementing Actions within
SageTea can now be addressed through AI-powered Agents. These agents, a burgeoning trend in AI, provide intelligent decision-making and process execution capabilities that complement
SageTea's framework.

2. LLM Integration for Code Generation: Recent experiments demonstrate that Large Language
Models (LLMs) can generate Smalltalk code directly from English statements. This capability
transforms SageTea into a low-code AI platform, making it more accessible and versatile for
developers and end-users alike.

3. SageTea as a RAG Database: The SageTea database's high performance and adaptability make it well-suited for Retrieval-Augmented Generation (RAG) systems. RAG combines traditional database querying with AI-driven reasoning, offering applications in industries such as knowledge management, customer service, and advanced analytics.