Pushing Vector
The vector/push
method is part of the Vectorlake library. This API enables users to push vector data to the Vectorlake database. This allows you to store and manage vector embeddings, metadata, and associated documents for advanced search and analysis.
The vector/push
method is used to upload vector data along with its metadata and associated document details to the Vectorlake database. It supports multiple vector types, such as text, audio, image, and multimodal.
This method is essential for creating vector-based systems by storing and indexing vectors for future retrieval and search operations.
# Define the payload to push vector data
payload = {
"Vector": "vectorObj",
"vector_type": "text",
"vector_document": "product_name/my string/my vector string",
"vectorlake_id": "example_vector_id",
"metadata": {}
}
# Push vector data to VectorLake
try:
push_response = VectorLake().push(payload)
print("Push response:", push_response)
except Exception as e:
print(f"Error while pushing vector data: {e}")
Example App Code
payload = {
"vector":[
0.024319298565387726,
-0.00023163162404671311,
-0.016777729615569115,
-0.010626757517457008,
0.03122701495885849,
-0.06260926276445389,
0.007289321627467871,
0.02642783336341381,
0.01257359515875578,
-0.018123053014278412,
0.016945894807577133,
0.015561764128506184,
-0.07176780700683594,
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0.011228271760046482,
0.05086355656385422,
0.040023356676101685,
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-0.032598208636045456,
0.06059127673506737,
0.0377725288271904,
0.05474429577589035,
-0.0525452084839344,
0.018330024555325508,
0.03800537437200546,
0.022003792226314545,
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0.04563749209046364,
0.002093982184305787,
0.06933587044477463,
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],
"vectorlake_id": "7v7oie317g2j0o7q",
"document_text": "Capital of India",
"vector_type": "text",
"metadata": {"price": "10000", "color": "red"}
}
vector_push = vector.push(payload)
print("vector_create----", vector_push)
Example Response
vector_create---- {'vector_id': 5219}
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