IndexError: list index out of range

[bakhtiarkamal]

Getting a list index out of range error, as below:

File "C:\PyProjects\elastic-ChatGPT\rsllc-elastic-env\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 541, in _run_script exec(code, module.__dict__) File "C:\PyProjects\elastic-ChatGPT\elastic-gpt.py", line 116, in <module> resp, url = search(query) File "C:\PyProjects\elastic-ChatGPT\elastic-gpt.py", line 83, in search body = resp['hits']['hits'][0]['fields']['body_content'][0]

The error is happening in the streamlit script for the line
body = resp['hits']['hits'][0]['fields']['body_content'][0]

The output of
resp = es.search(index=index, query=query, knn=knn, fields=fields, size=1, source=False)
is
{'took': 44, 'timed_out': False, '_shards': {'total': 2, 'successful': 2, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 0, 'relation': 'eq'}, 'max_score': None, 'hits': []}}

I've followed the instructions in the blog but unsure why getting a list index out of range

[noumanaziz7241]

I am Encountering same error on Ubuntu. I followed each and every step described in the blog but got the error.
my error is also in same line i.e.

resp = es.search(index=index, query=query, knn=knn, fields=fields, size=1, source=False)

while my output for this is

{'took': 11, 'timed_out': False, '_shards': {'total': 2, 'successful': 2, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 0, 'relation': 'eq'}, 'max_score': None, 'hits': []}}

Please provide any solution for this

[AlexandrKostrov]

The same error. Elastic returns no hits on every question about elastic docs

[AlexandrKostrov]

The same error. Elastic returns no hits on every question about elastic docs

It's not working for me on 8.10.3 deployment version but works fine on 8.9 with fix from this closed issue - #4.
@jeffvestal can you check please, what is a problem with running this on 8.10.3?

Thanks

[dynamite-bud]

Hey, I found the issue.
The problem is it's trying to query on the field of title-vector. But as they updated the inferences to be stored in ml.inference.title.predicted_value update that in your queries:

    query = {
        "bool": {
            "must": [{
                "match": {
                    "title": {
                        "query": query_text,
                        "boost": 1
                    }
                }
            }],
            "filter": [{
                "exists": {
                    "field": "ml.inference.title.predicted_value"
                }
            }]
        }
    }

The above solved it for me