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### Is your feature request related to a problem?
Currently neural-search text_image_processor allows a single document field to be defined for each image and text mapping. A single field can be defi…
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Hello thank you for this project, I want to understand it correctly when adding new index with embedding it appends to json file but when queering it loads entire index into memory (first is that corr…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
```
vector_store = OpensearchVectorStore(client)
embedding_model = HuggingFaceEmbedd…
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I am using a huggingface demo, but with a local model.How to deal with it?please help me , thank you very much!!
**code**:
import os
from lightrag import LightRAG, QueryParam
from lightrag.llm i…
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### 🚀 The feature, motivation and pitch
We are working to make embedding models a first-class citizen in vllm.
It would be great if we had logging metrics that are more native to embedding models!…
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## Feature Request
Any object that implements the trait `Embedabble` can be added to the embeddings builder and therefore can be embedded.
### Motivation
Currently, embeddings builder is tightly coup…
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### 🚀 The feature, motivation and pitch
rotary_embedding_kernel(FlagGems)
### Alternatives
_No response_
### Additional context
_No response_
### Before submitting a new issue...
- [X] Make sur…
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## Feature Request
Generalize and simplify the vector store interface (and the integration of third party vector stores).
### Motivation
Rig's current approach to vector stores and vector search …
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
`OpensearchVectorStore` retrieves the embedding along with text as a meta data from the …
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Following the walkthrough in spring ai documenation for opensearch vector store on aws, the following properties are incorrectly located:
spring.opensearch.aws.host
spring.opensearch.aws.service-n…