[Integration] Adding CocoIndex (#1584)

* Create cocoindex.md

* cocoindex

* Update cocoindex.md

* Update cocoindex.md

* Update cocoindex.md

* move cocoindex to data-management

qdrant-landing/content/documentation/data-management/_index.md

@@ -10,6 +10,7 @@ partition: build
 | ------------------------------- | -------------------------------------------------------------------------------------------------- |
 | [Airbyte](/documentation/data-management/airbyte/)           | Data integration platform specialising in ELT pipelines.                                           |
 | [Airflow](/documentation/data-management/airflow/)           | Platform designed for developing, scheduling, and monitoring batch-oriented workflows.             |
+| [CocoIndex](/documentation/data-management/cocoindex/)           | High performance ETL framework to transform data for AI, with real-time incremental processing     |
 | [Connect](/documentation/data-management/redpanda/)          | Declarative data-agnostic streaming service for efficient, stateless processing.                   |
 | [Confluent](/documentation/data-management/confluent/)       | Fully-managed data streaming platform with a cloud-native Apache Kafka engine.                     |
 | [DLT](/documentation/data-management/dlt/)                   | Python library to simplify data loading processes between several sources and destinations.        |

qdrant-landing/content/documentation/data-management/cocoindex.md

@@ -0,0 +1,49 @@
+---
+title: CocoIndex
+---
+
+# CocoIndex
+
+[CocoIndex](https://cocoindex.com) is a high performance ETL framework to transform data for AI, with real-time incremental processing.
+
+Qdrant is available as a native built-in vector database to store and retrieve embeddings.
+
+
+Install CocoIndex:
+```bash
+pip install -U cocoindex
+```
+
+Install Postgres with [Docker Compose](https://docs.docker.com/compose/install/):
+```bash
+docker compose -f <(curl -L https://raw.githubusercontent.com/cocoindex-io/cocoindex/refs/heads/main/dev/postgres.yaml) up -d
+```
+CocoIndex is a stateful ETL framework and only processes data that has changed. It uses Postgres as a metadata store to track the state of the data.
+
+```python
+import cocoindex
+
+doc_embeddings.export(
+    "doc_embeddings",
+    cocoindex.storages.Qdrant(
+        collection_name="cocoindex",
+        grpc_url="https://xyz-example.cloud-region.cloud-provider.cloud.qdrant.io:6334/",
+        api_key="<your-api-key-here>",
+    ),
+    primary_key_fields=["id_field"],
+    setup_by_user=True,
+)
+```
+
+The spec takes the following fields:
+
+- `collection_name` (type: str, required): The name of the collection to export the data to.
+- `grpc_url` (type: str, optional): The gRPC URL of the Qdrant instance. Defaults to http://localhost:6334/.
+- `api_key` (type: str, optional). API key to authenticate requests with.
+
+Before exporting, you must create a collection with a vector name that matches the vector field name in CocoIndex, and set `setup_by_user=True` during export.
+
+## Further Reading
+
+- [CocoIndex Documentation](https://cocoindex.io/docs/ops/storages#qdrant)
+- [Example Code to build text embeddings with Qdrant](https://github.com/cocoindex-io/cocoindex/tree/main/examples/text_embedding_qdrant)