Add vector-stores module: one dataset through VectorStore on pgvector, Redis, Qdrant and Elasticsearch

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01JXVi2GMQ7bR5EmbUFdDj7N

vector-stores/src/broken/Redis1xStyle.java

@@ -0,0 +1,14 @@
+// Not compiled by the build (it lives outside src/main and src/test). scripts/capture-1x-compile.sh
+// compiles it against Spring AI 2.0.1 and captures the compiler's own message.
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.vectorstore.redis.RedisVectorStore;
+import redis.clients.jedis.JedisPooled;
+
+class Redis1xStyle {
+    RedisVectorStore build(EmbeddingModel em) {
+        JedisPooled jedis = new JedisPooled("127.0.0.1", 6392);
+        return RedisVectorStore.builder(jedis, em)
+                .vectorAlgorithm(RedisVectorStore.Algorithm.HSNW)
+                .build();
+    }
+}