LlamaIndex Embeddings Integration: OPEA Embeddings
OPEA (Open Platform for Enterprise AI) is a platform for building, deploying, and scaling AI applications. As part of this platform, many core gen-ai components are available for deployment as microservices, including LLMs.
Visit https://opea.dev for more information, and their GitHub for the source code of the OPEA components.
Installation
- Install the required Python packages:
%pip install llama-index-embeddings-opea
Usage
from llama_index.embeddings.opea import OPEAEmbedding
embed_model = OPEAEmbedding(
model="<model_name>",
api_base="http://localhost:8080/v1",
embed_batch_size=10,
)
embeddings = embed_model.get_text_embedding("text")
embeddings = embed_model.get_text_embedding_batch(["text1", "text2"])
1 maintainer
Metadata
1 maintainer
Release files for llama-index-embeddings-opea 0.4.0
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Release files / llama_index_embeddings_opea-0.4.0.tar.gz
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