templates: update qdrant self query (langchain-ai#19218)

## Description

This PR
- Updates the Qdrant self-query template to reflect the recent updates.
- Enables reading config values from `env` files as the README [mentions
it](https://github.com/Anush008/langchain/tree/self-query-qdrant/templates/self-query-qdrant#environment-setup).

Co-authored-by: Erick Friis <erick@langchain.dev>

templates/self-query-qdrant/pyproject.toml

@@ -10,10 +10,10 @@ packages = [{include = "self_query_qdrant"}]
 [tool.poetry.dependencies]
 python = ">=3.9,<3.13"
 langchain = "^0.1"
-openai = "<2"
 qdrant-client = ">=1.6"
 lark = "^1.1.8"
 tiktoken = "^0.5.1"
+langchain-openai = "^0.0.8"
 
 [tool.poetry.group.dev.dependencies]
 langchain-cli = ">=0.0.21"

templates/self-query-qdrant/self_query_qdrant/chain.py

@@ -3,14 +3,14 @@
 
 from langchain.chains.query_constructor.schema import AttributeInfo
 from langchain.retrievers import SelfQueryRetriever
-from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.llms import BaseLLM
-from langchain_community.llms.openai import OpenAI
 from langchain_community.vectorstores.qdrant import Qdrant
-from langchain_core.documents import Document, StrOutputParser
+from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
+from langchain_core.output_parsers.string import StrOutputParser
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
+from langchain_openai import OpenAI, OpenAIEmbeddings
 from qdrant_client import QdrantClient
 
 from self_query_qdrant import defaults, helper, prompts
@@ -84,7 +84,11 @@ def initialize(
 
     # Set up a vector store to store your vectors and metadata
     Qdrant.from_documents(
-        documents, embedding=embeddings, collection_name=collection_name
+        documents,
+        embedding=embeddings,
+        collection_name=collection_name,
+        url=os.environ.get("QDRANT_URL", "http://localhost:6333"),
+        api_key=os.environ.get("QDRANT_API_KEY"),
     )