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Problem with near_text Query and Metadata Filtering in Weaviate

hi @lisascat !! Welcome to our community I was not able to reproduce this. Here is some code so we can share: client.collections.delete("Test") collection = client.collections.create( "Test",...

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Problem with near_text Query and Metadata Filtering in Weaviate

note that if you have an ID for you objects, you can use it, like explained here: weaviate.io Create objects | Weaviate The examples on this page demonstrate how to create individual objects in...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

Ok, can you share some code I can reproduce this? If possible, separated from the project. Weaviate current version is 1.27.2, if you are running with Embedded, you can specify a version there. Let me...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

I shared entire project. Code in calling create are the same for embedded and use_local_connection. import os import sys import weaviate from weaviate import WeaviateClient from weaviate.classes.init...

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Filter index breaks after updating/inserting new records

For anybody finding this in the future, the fix is included in v1.27.3, v1.26.10, and v1.25.25

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Locally running RAG pipeline with Verba and Llama3 with Ollama

Oh, nice! Thanks for sharing! I have also noticed ollama performing better when running directly on host instead of docker. For one dataset it was importing in host, but not on docker. I run mac,...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

The code is not formatted. I was not able to run it. Can you for example create a google collab? One thing I noticed, is that you seem to be instantiating two embedded, use_async_with_embedded and...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

The code for aysnc is commented out. I’ll try to create a google collab . thanks

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

will try 1.27.3 as well. thanks

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Problem with near_text Query and Metadata Filtering in Weaviate

Hello @DudaNogueira thank you for your response! The insertion worked, and the search is also functioning correctly. What I don’t understand is why, when using: batch_size = 100 # Batch size for i in...

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Problem with near_text Query and Metadata Filtering in Weaviate

Oh, I see. When you use WeaviateVectorStore.from_documents the framework (not sure what are you using, llamaindex or langchain) will embed it for you following it’s own login. This means it will...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

Here is the log; shows first file has 18 chucks loaded; 2nd has 10. When final counts the object, it shows 20 2024-11-13 16:32:09,935 - INFO - === file_path:...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

here is same code, by switching to local connection; the counts of object is 25 iner fastapi_onazure-t2v-transformers-1 Started 0.2s Container fastapi_onazure-contextionary-1 Started 0.2s Container...

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Problem with near_text Query and Metadata Filtering in Weaviate

Hi @DudaNogueira! Thanks again for your previous help. The solution you suggested worked perfectly, and I was able to resolve the initial issue. However, I encountered other challenges as I adapted...

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Vectorization failed for some batches: 500, message='Internal Server Error'

Idk where to see the logs. I googled it and it says look in the tray. The only option I have is to quit ollama. I’m still searching for the logs.

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Couldn't connect to Weaviate, check your URL/API KEY: [Errno 30] Read-only...

Thank you very much for your help. I have successfully used cloud weaviate, and now I want to deploy Embedded Weaviate locally, but I don’t seem to see the command for downloading in Embedded Weaviate...

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Embeded weaviate with objects stuck at 20; connect_to_local shows thousands...

cw257900: 2024-11-13 16:43:36,276 - INFO - HTTP Request: GET http://localhost:8080/v1/schema/PDF_COLLECTION “HTTP/1.1 404 Not Found” 2024-11-13 16:43:36,279 - INFO - HTTP Request: GET...

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Problem with near_text Query and Metadata Filtering in Weaviate

Hi! Great! Glad to hear we are making progress Now, you need to understand that in your scenario, Weaviate will have two indices: 1 - A Named Vector called transcription_vector 2 - An inverted index...

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Problem with near_text Query and Metadata Filtering in Weaviate

If you want to learn more on tokenization: weaviate.io Overview of tokenization | Weaviate Tokenization is the process of breaking text into smaller units, called tokens. This is an important step...

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Vectorization failed for some batches: 500, message='Internal Server Error'

In Mac (and probably linux too) it is here: tail -n 100 ~/.ollama/logs/server.log

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