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.
1 maintainer
Metadata
1 maintainer
Release files for orchid-rag-qdrant 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orchid_rag_qdrant-1.2.0.tar.gz | 14.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orchid_rag_qdrant-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / orchid_rag_qdrant-1.2.0.tar.gz
| Download URL | orchid_rag_qdrant-1.2.0.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / orchid_rag_qdrant-1.2.0-py3-none-any.whl
| Download URL | orchid_rag_qdrant-1.2.0-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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