ChromaDB vector-backend plugin for the Orchid AI framework
Project description
orchid-rag-chroma
ChromaDB vector backend plugin for the Orchid AI framework.
What it provides
ChromaRepository— implementsOrchidVectorStoreRepositorybacked by ChromaDB
Installation
pip install orchid-rag-chroma
Usage
Reference vector_backend: chroma in your agents.yaml:
rag:
vector_backend: chroma
chroma_client_type: http
chroma_host: localhost
chroma_port: 8000
Or build it programmatically:
from orchid_rag_chroma import ChromaRepository
from langchain_community.embeddings import OllamaEmbeddings
repo = ChromaRepository(
client_type="http",
host="localhost",
port=8000,
embeddings=OllamaEmbeddings(model="nomic-embed-text"),
embedding_dimension=768,
)
Development
cd orchid-rag-chroma
pip install -e ".[dev]"
pytest tests/ -x
ruff check orchid_rag_chroma/
License
MIT
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