add embeddings

qdrant-landing/content/documentation/embeddings/together_ai.md

@@ -0,0 +1,48 @@
+
+---
+title: Together AI
+weight: 3000
+aliases:
+  - /documentation/examples/together-ai-search/
+  - /documentation/tutorials/together-ai-search/
+  - /documentation/integrations/together-ai/ 
+---
+
+# 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:
+
+```bash
+pip install togetherai
+```
+## Integration Example
+
+```python
+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],
+    )
+)
+
+```