@@ -3,10 +3,12 @@ This project supports the grounding of LLMs with KG usecase. The aim of this use
### Workflow

# Docker Containers
Here we have 3 docker containers:
Here we have 4 docker containers:
1. GLLM_Databroker
The databroker is responsible for acquiring data ( user's query and usecase specific document ) from the user and pass it into the docker container - Parser model.
2. Parser Model
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@@ -17,6 +19,7 @@ Here we have 3 docker containers:
4. User-Diagostics
The node is responsible to calculate overall efficiency of the pipeline i.e. overall star ratings, feedback score, faithfulness score and answer relevancy score.
### Work in progress:
This tutorial is currently in the developmental stages and may undergo frequent changes. Contributions, suggestions, and feedback are welcome to help improve this project.