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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I have a list of nodes like that
```
nodes= [TextNode(
text=f"{ori…
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### Bug Description
Inserting a large number of chunks (250+) into a Vector Store (Qdrant in my case) using Google Gemini Embeddings `models/text-embedding-004` results in a 400 error at some point.
…
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I met the embedding dimension error when I employed the open source embedding model and openai-like one. I changed the dimension from default 4096 to 1024 or 2048, I got this error:
File "/Librar…
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### Priority
P1-Stopper
### OS type
Ubuntu
### Hardware type
Xeon-SPR
### Installation method
- [ ] Pull docker images from hub.docker.com
- [X] Build docker images from source
…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain.js documentation with the integrated search.
- [X] I used the GitHub search to find a …
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Hi, team, I would like to know how to load and dump a sharded embedding collection via `state_dict`. Basically
1. How many files should I save? Should each rank have an exclusive sharding file or o…
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### 🐛 Describe the bug
## Installation
Install PyTorch
```
pip install torch -U --index-url https://download.pytorch.org/whl/nightly/cu121
```
Install TorchRec
https://github.com/pytorch/to…
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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…
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If I'm using a retriever (eg: HybridRetriever or VectorRetriever) is it possible for me to add constrains to any of the properties.
Example:
Node: Note
Properties: user_id, content, content_embeddi…
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code:
import os
from lightrag import LightRAG, QueryParam
from lightrag.llm import hf_model_complete, hf_embedding
from lightrag.utils import EmbeddingFunc
from transformers import AutoModel, A…