# Search

curl -X POST "https://search.dria.co/hnsw/search" \
-H "x-api-key: <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{"rerank": true, "top_n": 10, "contract_id": "dxAmz--pSgnE8GYZtdSuCoSGxJkBRo3Ut7AZMvpaf6Q", "query": "What is alexanDRIA library?"}'
        
# Query

curl -X POST "https://search.dria.co/hnsw/query" \
-H "x-api-key: <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{"vector": [0.123, 0.5236], "top_n": 10, "contract_id": "dxAmz--pSgnE8GYZtdSuCoSGxJkBRo3Ut7AZMvpaf6Q", "level": 2}'
        

Bash

# Search

response = requests.post(
    "https://search.dria.co/hnsw/search",
    headers={'x-api-key': '<YOUR_API_KEY>', 'Content-Type': 'application/json'},
    json={
    "rerank": True,
    "top_n": 10,
    "contract_id": "dxAmz--pSgnE8GYZtdSuCoSGxJkBRo3Ut7AZMvpaf6Q",
    "query": "What is alexanDRIA library?"
}
)
print(response.status_code)
print(response.json())
        
# Query

response = requests.post(
    "https://search.dria.co/hnsw/query",
    headers={'x-api-key': '<YOUR_API_KEY>', 'Content-Type': 'application/json'},
    json={
    "vector": [
        0.123,
        0.5236
    ],
    "top_n": 10,
    "contract_id": "dxAmz--pSgnE8GYZtdSuCoSGxJkBRo3Ut7AZMvpaf6Q",
    "level": 2
}
)
print(response.status_code)
print(response.json())
        

Python

This dataset contains the Walmart stock prices from 01/01/2000 to 04/27/2024. The columns are as follows:Date - The dateOpen - The opening valueHigh - The highest valueLow - The lowest valueClose - The closing valueAdj Close - The adjusted closing valueVolume - The trading volume of the stocks

Date	Open	High	Low	Close	Adj Close	Volume
3/1/2012	19.786667	19.806667	19.546667	19.606667	15.043551	48851700
3/2/2012	19.663334	19.76	19.6	19.67	15.092145	29544300
3/5/2012	19.653334	19.863333	19.583332	19.799999	15.191887	28953000
3/6/2012	19.68	19.74	19.583332	19.656668	15.081912	27171300