Qdrant vector and doc-store backend for the Orchid AI framework
Project description
orchid-rag-qdrant
Qdrant vector and doc-store backend for the Orchid multi-agent AI framework.
Installation
pip install orchid-rag-qdrant
Usage
No code changes are required. Once installed, the package auto-registers
qdrant in Orchid's vector and doc-store backend registries via Python
entry points.
# orchid.yml
vector_backend: qdrant
qdrant_url: http://qdrant:6333
Requirements
- Python 3.11+
- A running Qdrant instance (or use the embedded Qdrant client for testing)
Documentation
See the main Orchid framework docs for full configuration reference and examples.
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