How to handle queries containing large vector embed.

[tewatiarahul]

Hi,

In the given example you took embedding of size 5.. in case of solr 8.5, vector embed of length 512 or greater when we send request for querying. it gives error 414.. url too large... how this issue can be resolved any idea about it?

Thanks

[satishsilveri]

Syntax in CURL:

CURL http://localhost:8983/solr/{your colletction}/query?fl=name,score -d 'q={!vp f=vector vector="comma_separated_string_of_embedding_of_any_length"}'

CURL equivalent code in python:

url="http://localhost:8983/solr/{your_collection}/query?fl=name,score"

data={"query":"q={!vp f=vector vector=\"comma_separated_string_of_embedding_of_any_length\"}"}

response = requests.post(url=url,data=json.dumps(data),headers={'Content-Type': 'application/json'})

print(response.text)