landing_page/qdrant-landing/content/documentation/embeddings/togetherai.md

title, weight

title	weight
Together AI	3000

Using Together AI with Qdrant

Together AI focuses on collaborative AI embeddings that enhance multi-user search scenarios when integrated with Qdrant.

Installation

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

pip install togetherai

Integration Example

import qdrant_client
from qdrant_client.models import Batch
from togetherai import TogetherAI

# Initialize Together AI model
model = TogetherAI("togetherai-collab")

# Generate embeddings for collaborative content
text = "Together AI enhances collaborative content search."
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="CollaborativeContent",
    points=Batch(
        ids=[1],
        vectors=[embeddings],
    )
)