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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 — implements OrchidVectorStoreRepository backed 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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