Swarmauri Vectorstore Qdrant
A vector store implementation using Qdrant as the backend, supporting both persistent local storage and cloud-based operations for document storage and retrieval.
Installation
pip install swarmauri_vectorstore_qdrant
Usage
from swarmauri.documents.Document import Document
from swarmauri.vectorstores.PersistentQdrantVectorStore import PersistentQdrantVectorStore
from swarmauri.vector_stores.CloudQdrantVectorStore import CloudQdrantVectorStore
# Local Persistent Storage
local_store = PersistentQdrantVectorStore(
collection_name="my_collection",
vector_size=100,
path="http://localhost:6333"
)
local_store.connect()
# Cloud Storage
cloud_store = CloudQdrantVectorStore(
api_key="your_api_key",
collection_name="my_collection",
vector_size=100,
url="your_qdrant_cloud_url"
)
cloud_store.connect()
# Add documents
documents = [
Document(content="sample text 1"),
Document(content="sample text 2")
]
local_store.add_documents(documents)
# Retrieve similar documents
results = local_store.retrieve("sample query", top_k=5)
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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_vectorstore_qdrant 0.9.2
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| File | Size | Uploaded | |
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| swarmauri_vectorstore_qdrant-0.9.2.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
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| swarmauri_vectorstore_qdrant-0.9.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.9 kB
Release files / swarmauri_vectorstore_qdrant-0.9.2.tar.gz
| Download URL | swarmauri_vectorstore_qdrant-0.9.2.tar.gz |
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| Size | 8.8 kB |
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Release files / swarmauri_vectorstore_qdrant-0.9.2-py3-none-any.whl
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| Size | 12.1 kB |
| Tags | Python 3 |
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