HIDDB Python SDK
The official SDK for the HIDDB vector database.
Installation
Use the package manager pip to install the SDK.
pip install hiddbUsage
Create a collection within a database <your database_id>.
from hiddb.synchronous import HIDDB
hiddb = HIDDB("<key>", "<secret>")
# Create a collection named 'wordvectors'
hiddb.create_collection(database_id="<your database_id>", collection_id="wordvectors")Create an index within this collection:
# Create an index on field 'vector' within the collection and dimension 300
hiddb.create_index(
database_id="<your database_id>",
collection_name='wordvectors',
index_name="vector",
dimension=300
)Insert documents like that:
document = {
"vector": [0.0]*300,
"id": "my first document"
}
hiddb.insert_document(
database_id=database_id,
collection_name='wordvectors',
documents=[document]
)Search for nearest documents:
similar_words = hiddb.search_nearest_documents(
database_id="<your database_id>",
collection_name='wordvectors',
index_name="vector",
vectors=[[42.0]*300],
max_neighbors=10
)More examples and a more detailed documentation will follow soon
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
