GN5-2 WP6 Incubator Project Closure Report: WFO RAG Agent and LLM Integration
GN5-2 WP6 Incubator Project Closure Report: WFO RAG Agent and LLM Integration
The WFO RAG agent and LLM integration introduces a Large Language Model (LLM)-based search implementation in the Workflow Orchestrator (WFO). This incubator successfully evaluates and integrates a number of state-of-the art technology (libraries) into the WFO, thereby creating a Retrieval Augmentation Generation (RAG) agent. This project implements an index search in a Postgres database, makes use of PydanticAI for typesafe interaction with an AI agent, leverages the AG-UI protocol to enable seamless integration into a modern typescript-based frontend web application, and implements the OpenAI API spec to enable integrations with any open source LLM capable of supporting the OpenAI API specification.
Workflow Orchestrator, LLM, WP6, Network Development, WFO, Retrieval Augmentation Generation, RAG
Workflow Orchestrator, LLM, WP6, Network Development, WFO, Retrieval Augmentation Generation, RAG
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