chore: enrich pyproject.toml files with links to new references, others (#33343)

libs/partners/qdrant/README.md

@@ -2,24 +2,4 @@
 
 This package contains the LangChain integration with [Qdrant](https://qdrant.tech/).
 
-## Installation
-
-```bash
-pip install -U langchain-qdrant
-```
-
-## Usage
-
-The `Qdrant` class exposes the connection to the Qdrant vector store.
-
-```python
-from langchain_qdrant import Qdrant
-
-embeddings = ... # use a LangChain Embeddings class
-
-vectorstore = Qdrant.from_existing_collection(
-    embeddings=embeddings,
-    collection_name="<COLLECTION_NAME>",
-    url="http://localhost:6333",
-)
-```
+View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/qdrant) for more details.