Qdrant

Qdrant is an open-source vector similarity search engine built for production-ready vector search applications. It provides a convenient API to store, search, and manage vectors with additional payload data. Obiguard provides a proxy to Qdrant, allowing you to use access keys and observability features.

Obiguard SDK Integration with Qdrant

Obiguard provides a consistent API to interact with models from various providers. To integrate Qdrant with Obiguard:

1. Install the Obiguard SDK

Add the Obiguard SDK to your application to interact with Qdrant through Obiguard’s gateway.

Python SDK

pip install obiguard

2. Initialize Obiguard with an access key

To use Qdrant with Obiguard, get your API key from Qdrant App, then add it to Obiguard as a provider credential and create an access key for the agent or project that will call it.

Python SDK
OpenAI Python SDK

from obiguard import Obiguard

client = Obiguard(
  obiguard_api_key="ak***",  # Your Obiguard access key
)

from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders

client = OpenAI(
  api_key="QDRANT_API_KEY",
  base_url=OBIGUARD_GATEWAY_URL,
  default_headers=createHeaders(
    obiguard_api_key="ak***",  # Your Obiguard access key
    provider="qdrant",
    custom_host="QDRANT_HOST" # Replace with your Qdrant host
  )
)

3. Use the Obiguard SDK to interact with Qdrant

Python SDK
OpenAI Python
cURL

from obiguard import Obiguard

client = Obiguard(
  obiguard_api_key="ak***",  # Your Obiguard access key
  custom_host="QDRANT_HOST" # Replace with your Qdrant host
)

response = client.post(
  url="https://xxxx-xxx-xxx-xx-xxxxxx.us-west-2-0.aws.cloud.qdrant.io", # Qdrant search endpoint, you can use any Qdrant endpoint
)

print(response)

from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders

openai = OpenAI(
  api_key='QDRANT_API_KEY',
  base_url=OBIGUARD_GATEWAY_URL,
  default_headers=createHeaders(
    provider="qdrant",
    obiguard_api_key="ak***",  # Your Obiguard access key
    custom_host="QDRANT_HOST" # Replace with your Qdrant host
  )
)

response = openai.post(
  url="https://xxxx-xxx-xxx-xx-xxxxxx.us-west-2-0.aws.cloud.qdrant.io", # Qdrant search endpoint, You can use any Qdrant endpoint
)

print(response)

curl --location --request POST 'https://xxxx-xxx-xxx-xx-xxxxxx.us-west-2-0.aws.cloud.qdrant.io' \
  -H 'x-obiguard-custom-host: $QDRANT_HOST' \
  -H "x-obiguard-api-key: $OBIGUARD_API_KEY" \

Ecosystem

AI Apps

Agents

LLMs

Vector Databases

Obiguard SDK Integration with Qdrant

1. Install the Obiguard SDK

2. Initialize Obiguard with an access key

3. Use the Obiguard SDK to interact with Qdrant

​Obiguard SDK Integration with Qdrant

​1. Install the Obiguard SDK

​2. Initialize Obiguard with an access key

​3. Use the Obiguard SDK to interact with Qdrant

Obiguard SDK Integration with Qdrant

1. Install the Obiguard SDK

2. Initialize Obiguard with an access key

3. Use the Obiguard SDK to interact with Qdrant