Added lab 8 instructions

Author: siddhi

labs/08-qdrant-cloud.md

@@ -0,0 +1,72 @@
+# Lab 8: Qdrant Cloud (Homework)
+
+Now, let us configure the application to run on the deployment environment. To do this, we need to sign up for qdrant cloud and configure our application to connect to the cloud version.
+
+Here are the steps for this lab:
+
+1. Sign up for a free account at qdrant - https://qdrant.tech/
+1. Start a free cluster - https://qdrant.tech/documentation/cloud/create-cluster/
+1. Get the QDRANT_API_KEY and QDRANT_URL for the cluster. Update both in the `.env` file
+1. Update `config.py` and add these two settings:
+
+```
+    QDRANT_API_KEY: str
+    QDRANT_URL: AnyUrl
+```
+1. Create the collection `resumes` on qdrant cloud. Put this code in a script and run it
+
+```python
+from langchain_openai import OpenAIEmbeddings
+from langchain_qdrant import QdrantVectorStore
+from qdrant_client import QdrantClient
+from qdrant_client.http.models import Distance, VectorParams
+from config import settings
+
+embeddings = OpenAIEmbeddings(model="text-embedding-3-large", api_key=settings.OPENAI_API_KEY)
+client = QdrantClient(url=str(settings.QDRANT_URL), api_key=settings.QDRANT_API_KEY)
+client.create_collection(collection_name="resumes", vectors_config=VectorParams(size=3072, distance=Distance.COSINE))
+client.close()
+```
+
+1. Update `get_vector_store` function so that it connects to cloud server in production environment
+1. Go to render.com and add these two environment variables to your instance - https://render.com/docs/configure-environment-variables
+1. Commit the code, push and do a deploy on render
+
+## Hints
+
+### How do I connect to qdrant cloud in langchain?
+
+<details>
+<summary>Answer</summary>
+
+```python
+        vector_store = QdrantVectorStore.from_existing_collection(
+            embedding=embeddings, 
+            collection_name="resumes", 
+            url=str(settings.QDRANT_URL), 
+            api_key=settings.QDRANT_API_KEY)
+```
+
+### How do I update get_vector_store?
+
+<details>
+<summary>Answer</summary>
+
+We want to use the cloud vector store in production and the file path in laptop
+
+```python
+def get_vector_store():
+    embeddings = OpenAIEmbeddings(model="text-embedding-3-large", api_key=settings.OPENAI_API_KEY)
+    if settings.PRODUCTION:
+        vector_store = QdrantVectorStore.from_existing_collection(
+            embedding=embeddings, 
+            collection_name="resumes", 
+            url=str(settings.QDRANT_URL), 
+            api_key=settings.QDRANT_API_KEY)
+    else:
+        vector_store = QdrantVectorStore.from_existing_collection(
+            embedding=embeddings, 
+            collection_name="resumes", 
+            path="qdrant_store")
+    return vector_store
+```