Failed to create collection with vectorizers using demo code in nodejs
Environment: free cloud sandbox instance on Weaviate Cloud (WCD) Code language: nodejs (v18.20.4) Version: weaviate-client (v3.1.5) Code: const client = await weaviate.connectToWeaviateCloud(...
View ArticleUnable to deploy Verba v1.0.3 and v2.0.0 with Docker on Windows
Hello , I am running ollama on wsl2 and weaviate&Verba on docker. I had the same error. i solved it by using the ununtu/wsl2 ip OLLAMA_URL was the issue Verba: image: verba-verba ports: -...
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Local Ollama Verba-Weaviate on docker odd errors when using chat
Hello I am super new at this so forgive my errors. I had first tried to run llama and verba locally on wsl2 and had to many issues. So i moved verba to docker. could not get that to work until i used...
View ArticleHow to create vector embedding for multiple fields
I want to store embedding separately for two fields. For example, I am creating a schema like this skills = self.client.collections.create( name=self.collection_name,...
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How to create vector embedding for multiple fields
hi @Rishi_Prakash !! This is a named vector (multi vector) use case. When you define a single vectorizer, just like you have done, Weavaite will concatenate all “vectorizable” properties. Now, if you...
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Failed to create collection with vectorizers using demo code in nodejs
hi @Sandon !! Welcome to our community This may be a bug in the console. Apart from the vectorizer not being showed in the console, do you were you able to index and query your data as expected?
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Custom Model integration Instead of CLIP
hi @moaabid !! While I am not sure we do have an example with paligemma, we do have an example with multi2vec-bind here: github.com GitHub - weaviate-tutorials/multimodal-workshop Contribute to...
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Failure in retrieving content from a backup restored collection created on a...
hi @kaushik_acharya !! Welcome to our community It looks like it is indeed what you mentioned. You may need to create the collection with the project name you have access to. Unfortunately, those...
View ArticleCustom Model integration Instead of CLIP
multi2vec bind is a good option. But Paligemma is a vision language embedding model. It can encode images into embeddings is what i read. I’m new to this whether this kind of new models example phi-3...
View ArticleIntegrating Weaviate with Existing Databases - Emmanuel Katto Uganda
Hello Everyone, My name is Emmanuel Katto. I am currently in the process of integrating Weaviate into my existing application, and I have a few questions regarding best practices for working with data...
View ArticleMultimodal search with Bring your own vector
thanks @DudaNogueira ! I still have below questions- pls clarify in weavite, in below schema if i use below schema and later set the vector field as a bring your own vector where i am using...
View ArticleMultimodal search with Bring your own vector
hi! If you define the vectorizer properly, you can still provide your own vector, and use the near_text. What will happen “under the hood” is that Weaviate will vectorize your query. If you do not...
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Custom Model integration Instead of CLIP
Sorry, I don’t know about this enough. However, if the model indeed produces embeddings, and you see that Weaviate doesn’t have support for that model yet, feel free to open an feature request: GitHub...
View ArticleError : text too long for vectorization
hi @Sumat_Mallick !! I didn’t understand. Apart from the try/except the code seems similar to me. Also, the only difference from the sandbox (“free version”) from a paid cluster are the resources. The...
View ArticleUnable to deploy Verba v1.0.3 and v2.0.0 with Docker on Windows
hi @doc97040 !! Welcome to our community and thanks for sharing! while using docker, it’s best to use http://host.docker.internal:11434 instead of a fixed ip as it may change. host.docker.internal...
View ArticleError : text too long for vectorization
I think it is a bug in weaviate, but it has certain preconditions to happen - restarting wipes the state but it could reappear any time. The latest version contains additional information in the...
View Article[Question] Error: Can't get standard auto vectorization to run?
Thanks for linking to the fix, the docs team is working on adding more information for that part of the documentation.
View Article[Question] Python - weaviate client 4.0 cannot connect from inside kubernetes
@marekzebrowski Is this issue resolved? I am also facing similar issue.
View ArticleMultimodal search with Bring your own vector
But how to search over my Bring your own vector and also the named vectors in a single search query?
View Article[Question] Python - weaviate client 4.0 cannot connect from inside kubernetes
YES. It turned out to be bad decoding of AWS secret, that mangled API key. in AWS use none instead of auto - that helped me.
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