Hello Community,
I am trying to set up an AI Agent which can correspond to the pubmed Databse. I already set up a sub-workflow which is working to make a query and extract informations on a given number of references for a specific topic. Hower, when running the AI Agent, I get an error (listed below) and no output. If I ran the PubmedResearch manually and copy the input (which is correctly assigned by the AI agent) into the trigger, I get the desired outpur (listed below). Any ideas how to solve this problem?
I do not have any programming background and I do not know what else to try.
Thank you!
Error:
{
“errorMessage”: “There was an error: "The workflow did not return a response"”,
“errorDetails”: {},
“n8nDetails”: {
“time”: “9.2.2025, 17:14:53”,
“n8nVersion”: “1.77.3 (Cloud)”,
“binaryDataMode”: “default”,
“cause”: {
“level”: “error”,
“tags”: {}
}
}
}
Output:
[
{
“articles”: [
[
{
“PMID”: “29183821”,
“citation_count”: 135,
“Abstract”: “Total knee arthroplasty (TKA) results in a high degree of patient satisfaction, \nas it provides patients with considerable medium- and long-term benefits in \nterms of quality of life, pain relief and function. Nevertheless, the literature \nreports that up to 30% of patients are dissatisfied. This dissatisfaction is \ndirectly related to the patients’ quality of life, which they deem insufficient. \nTheir quality of life depends on many physical, behavioural, social and \npsychological factors that are not taken into account by functional outcome \nscores. After describing the principles of quality of life evaluation after TKA, \nwe will assess the effects of patient-related factors, the surgical technique \nand postoperative program through an exhaustive review of the literature. \nPatient expectations after TKA will then be outlined, particularly return to \nwork and return to sports.”,
“Journal”: “1. Orthop Traumatol Surg Res. 2018 Feb;104(1S):S41-S46. doi: \n10.1016/j.otsr.2017.04.017. Epub 2017 Nov 26.”,
“Title”: “Quality of life after total knee arthroplasty.”,
“Authors”: “Canovas F, Dagneaux L.”
},
and so on …