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Using Watsonx with Qdrant

Watsonx is IBM’s platform for AI embeddings, focusing on enterprise-level text and data analytics. These embeddings are suitable for high-precision vector searches in Qdrant.

Installation

You can install the required package using the following pip command:

pip install watsonx

Code Example

import qdrant_client
from qdrant_client.models import Batch
from watsonx import Watsonx

# Initialize Watsonx AI model
model = Watsonx("watsonx-model")

# Generate embeddings for enterprise data
text = "Watsonx provides enterprise-level NLP solutions."
embeddings = model.embed(text)

# Initialize Qdrant client
qdrant_client = qdrant_client.QdrantClient(host="localhost", port=6333)

# Upsert the embedding into Qdrant
qdrant_client.upsert(
    collection_name="EnterpriseData",
    points=Batch(
        ids=[1],
        vectors=[embeddings],
    )
)

Watsonx