docs: Dagster.io, Solon integrations (#1533)

* docs: Dagster integration Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Solon Signed-off-by: Anush008 <anushshetty90@gmail.com> * Update dagster.md --------- Signed-off-by: Anush008 <anushshetty90@gmail.com>
2026-10-05 10:58:32 +02:00 · 2025-04-15 18:20:05 +05:30
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+---
+title: Dagster
+---
+
+# Dagster
+
+[Dagster](https://dagster.io) is a Python framework for data orchestration built for data engineers, with integrated lineage, observability, a declarative programming model, and best-in-class testability.
+
+The `dagster-qdrant` library lets you integrate Qdrant's vector database with Dagster, making it easy to build AI-driven data pipelines. You can run vector searches and manage data directly within Dagster.
+
+### Installation
+
+```bash
+pip install dagster dagster-qdrant
+```
+
+### Example
+
+```py
+from dagster_qdrant import QdrantConfig, QdrantResource
+
+import dagster as dg
+
+
+@dg.asset
+def my_table(qdrant_resource: QdrantResource):
+    with qdrant_resource.get_client() as qdrant:
+        qdrant.add(
+            collection_name="test_collection",
+            documents=[
+                "This is a document about oranges",
+                "This is a document about pineapples",
+                "This is a document about strawberries",
+                "This is a document about cucumbers",
+            ],
+        )
+        results = qdrant.query(
+            collection_name="test_collection", query_text="hawaii", limit=3
+        )
+
+
+defs = dg.Definitions(
+    assets=[my_table],
+    resources={
+        "qdrant_resource": QdrantResource(
+            config=QdrantConfig(
+                host="xyz-example.eu-central.aws.cloud.qdrant.io",
+                api_key="<your-api-key>",
+            )
+        )
+    },
+)
+```
+
+## Next steps
+
+- Dagster [documentation](https://docs.dagster.io)
+
+- Dagster [examples](https://github.com/dagster-io/dagster/tree/b985d57aadc7d9bf88d8dcbd32b16d3487e433cc/examples)