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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Is your feature request related to a problem? Please describe.
Multi vector or vector list is widely used in t…
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### Documentation Issue Description
I was a bit surprised; there are 4 MB of vectors in the output of this notebook.
https://github.com/run-llama/llama_index/blob/main/docs/docs/examples/vector_st…
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**High Level approach:** Module that creates sentence embeddings for every book. This could enable semantic search, clustering, recommendations, anomaly detection, diversity measurement, classificatio…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I have spent a few hours looking through the documentation and asking in the Discord. I'…
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## Feature Request
There should be a more "out of the box" transition between the embeddings generated from the `EmbeddingsBuilder`'s `build()` method and adding these to a vector store.
### Moti…
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My dataset is creating an index of 10GB using Qdrant in langchain. I am creating both dense and sparse vectors. I am having issues with slow performance both creating the vectorstore ( took almost 6 d…
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provide a feature or tooling to allow a user to take embeddings from one table and make it such that pg_vectorize can manage those embeddings. for example, assume a user has a table already with a `co…
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Hi, very nice and interesting work! I am wondering how did you generated concepts vector? Is it just foundation model's embeddings values? An original embedding from model like gigapth do have many no…
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### Bug Description
I'm creating the
vector_store = AzureAISearchVectorStore(
search_or_index_client=index_client,
filterable_metadata_field_keys=metadata_fields,
index_name=in…