Unable to access weaviate cluster installed on K8S through verba 2.0

[adchadal]

Description

I am trying to access verba 2.0 version with weaviate cluster 1.26.3 version installed on kubernetes.

export params

export WEAVIATE_API_KEY_VERBA=“password” export WEAVIATE_URL_VERBA=https://:6383

Error :

https://::6383 with Auth ✘ Couldn’t connect to Weaviate, check your URL/API KEY: Invalid port: ‘6383:443’ ✘ Failed to connect to Weaviate Couldn’t connect to Weaviate, check your URL/API KEY: Invalid port: ‘6383:443’ INFO: 10.82.204.17:65400 - “POST /api/connect HTTP/1.1” 400 Bad Request

Note : It was working fine with verba 1.0 version ! with weaviate-client v3

Installation

1. installed python 3.12.4 version
2. installed weaviate-client v4
3. installed verba using "pip install goldenverba"
4. started the verba server using "verba start --port 27048 --host

(myenv) pip3 freeze|grep verba goldenverba==2.0.0 (myenv) pip3 freeze|grep weav weaviate-client==4.7.1

Weaviate Deployment

Weaviate cluster created using helm charts on kubernetes cluster, http and grpc url's exposed through istio virtual service to access outside the cluster.

Configuration

Installation issue

Steps to Reproduce

Provided the steps i followed for installation and reproducing the issue above.

Additional context

[thomashacker]

I added a new deployment option Custom which should allow to connect to custom Weaviate instances with custom hosts + ports. Let me know if this works for your kubernetes setup!

[adchadal]

I added a new deployment option Custom which should allow to connect to custom Weaviate instances with custom hosts + ports. Let me know if this works for your kubernetes setup!

Thank you for fixing this ! @thomashacker

But when i use pip install goldenverba, it still installs [v2.0.0]. Will there be new version with Custom weaviate instance ?

[thomashacker]

For now, I would recommend installing from source since it's the most up-to-date, we'll release v2.1.0 version to PyPI a bit later