Documentation Index
Fetch the complete documentation index at: https://docs.vectoraidb.actian.com/llms.txt
Use this file to discover all available pages before exploring further.
By default, search returns only vector IDs and similarity scores. To include metadata with your results, set with_payload=True.
Include payload data when you:
- Need metadata to display results
- Want to avoid extra fetch requests
- Require metadata for downstream processing
Excluding payload reduces response size and network transfer time.
import asyncio
from actian_vectorai import AsyncVectorAIClient
import random
async def main():
# Connect to VectorAI DB server
async with AsyncVectorAIClient("localhost:6574") as client:
# Generate query vector
query_vector = [random.gauss(0, 1) for _ in range(128)]
# Include metadata in results (default is True)
results = await client.points.search(
"my_collection", # Collection name
vector=query_vector, # Query vector
limit=10, # Number of results
with_payload=True # Include payload metadata
)
# Display results with payload
for result in results:
print(f"ID: {result.id}, Score: {result.score}")
print(f"Payload: {result.payload}")
print("-" * 50)
asyncio.run(main())
Each result includes these fields:
id: The unique identifier of the matching point.
score: Similarity score based on distance metric.
payload: Full metadata dictionary for the point.