Blog comment on How to run an embedded vector database in 10 lines of code

[giscus[bot]]

Blog comment on How to run an embedded vector database in 10 lines of code

The Weaviate server can be run locally directly from client code

https://weaviate.io/blog/embedded-local-weaviate

[tdubon]

This was an awesome tutorial, thanks! It does a great job bridging the gap between using a sandbox example to using locally stored data.

[nobutoba]

This is just a friendly reminder that a closing parenthesis is missing in the CI/CD Python code:

client = weaviate.Client(
    embedded_options=weaviate.embedded.EmbeddedOptions(),
    additional_headers={
        'X-OpenAI-Api-Key': 'YOUR-OPENAI-API-KEY'  # Replace w/ your OPENAI API key
    }
) <== missing in the sample code

[databyjp]

Well spotted, thank you :)

[Tej-Sharma]

Could you please add a searching example? I keep getting a 'TypeError: fetch failed' even though the adding nodes was working