Get Agent Queries

{
    "success": true,
    "message": "Agent queries retrieved successfully.",
    "data": [
        {
            "id": 7,
            "comments": [
                []
            ],
            "feedback": [
                []
            ],
            "question": "what is the process of augmentation",
            "response": {
                "query": "'process of augmentation in RAG models'",
                "answer": "Sorry, couldn't find the answer in the provided documents.",
                "history": [
                    {
                        "bot": "Retrieval-Augmented Generation (RAG) is a model designed for knowledge-intensive Natural Language Processing (NLP) tasks. RAG models combine pre-trained parametric memory, such as a sequence-to-sequence (seq2seq) model, with non-parametric memory, such as a dense vector index of Wikipedia, which is accessed using a pre-trained neural retriever. This combination allows RAG models to access and manipulate knowledge more precisely than traditional pre-trained language models.",
                        "user": "what is RAG"
                    }
                ]
            },
            "created_by": "user@example.com",
            "created_on": "2024-10-04T21:42:11.280077Z",
            "is_deleted": false,
            "total_tokens": 1151,
            "query_source": "web",
            "agent": 3
        }
    ]
}