docs: Added Spring AI integration (#650)

* docs: Added Spring AI integration

* chore: updated snippets spring-ai.md

qdrant-landing/content/documentation/frameworks/spring-ai.md

@@ -0,0 +1,69 @@
+---
+title: Spring AI
+weight: 2200
+---
+
+# Spring AI
+
+[Spring AI](https://docs.spring.io/spring-ai/reference/) is a Java framework that provides a [Spring-friendly](https://spring.io/) API and abstractions for developing AI applications.
+
+Qdrant is available as supported vector database for use within your Spring AI projects.
+
+## Installation
+
+To acquire Spring AI artifacts, declare the Spring Snapshot repository in your `pom.xml`.
+
+```xml
+<repository>
+   <id>spring-snapshots</id>
+   <name>Spring Snapshots</name>
+   <url>https://repo.spring.io/snapshot</url>
+   <releases>
+      <enabled>false</enabled>
+   </releases>
+</repository>
+```
+
+Add the `spring-ai-qdrant` package.
+
+```xml
+<dependency>
+    <groupId>org.springframework.ai</groupId>
+    <artifactId>spring-ai-qdrant</artifactId>
+    <version>VERSION</version>
+</dependency>
+```
+
+## Usage
+
+You can set up the Qdrant vector store with the `QdrantVectorStoreConfig` options.
+
+```java
+@Bean
+public QdrantVectorStoreConfig qdrantVectorStoreConfig() {
+
+    return QdrantVectorStoreConfig.builder()
+        .withHost("<QDRANT_HOSTNAME>")
+        .withPort(<QDRANT_GRPC_PORT>)
+        .withCollectionName("<QDRANT_COLLECTION_NAME>")
+        .withApiKey("<QDRANT_API_KEY>")
+        .build();
+}
+```
+
+<aside role="status">You'll need to <a href="/documentation/concepts/collections/#create-a-collection">create a collection</a> with the appropriate vector dimensions and configurations in advance.</aside>
+
+Build the vector store using the config and any of the support [Spring AI embedding providers](https://docs.spring.io/spring-ai/reference/api/embeddings.html#available-implementations).
+
+```java
+@Bean
+public VectorStore vectorStore(QdrantVectorStoreConfig config, EmbeddingClient embeddingClient) {
+    return new QdrantVectorStore(config, embeddingClient);
+}
+```
+
+You can now use the `VectorStore` instance backed by Qdrant as a vector store in the Spring AI APIs.
+
+## Further Reading
+
+- 📚 Spring AI [reference](https://docs.spring.io/spring-ai/reference/index.html)