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**Is your feature request related to a problem? Please describe.**
Embedding searches in vector databases for face recognition can be slow, especially with large datasets. Faster retrieval methods ar…
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The choice of dimensionality reduction will affect whether or not we can 'record' how dimensionality reduction is effected on the search string embedding at runtime.
**Why is this important?**
If…
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## Description
I want to use the RAG feature (on pdf that I transformed with tika). I have a collection with two fields, `content` and `embedding`. The embedding is calculated with openai/text-embe…
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VectordbBench keeps ending abruptly when run on weaviate:
2024-11-12 15:27:15,918 | INFO: Syncing all process and start concurrency search, concurrency=70 (mp_runner.py:109) (59439)
2024-11-12 15:…
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## Problem to Solve
I would like to be able to use vector embeddings to perform semantic searching over a TypeDB database, to support use cases like Retrieval Augmented Generation and integration w…
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## Description
Is it possible to search for multiple embeddings at the same time? In my specific case, I want to make a similarity search for text and image embedding. I am aware of hybrid search, …
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### Do you need to file an issue?
- [ ] I have searched the existing issues and this bug is not already filed.
- [ ] My model is hosted on OpenAI or Azure. If not, please look at the "model providers…
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**Is your feature request related to a problem?**
Currently, in ml inference processors, when input_maps are config, those fields are mandatory field to map from ingest document or from search respon…
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Hey ...
it appears that the /recommend endpoint does not support 2D embedding vectors (which you get with late embedding models such as ColPali). At least that's how it is in the python client but I …
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Hi,
I'm trying to ingest into an Azure AI Search Index using the AzureBlobStorageDocumentLoader, however, I got the following error during the ingestion:
```
com.azure.core.exception.HttpRespon…