added limit to embed documents

src/main/java/com/olympus/apollo/services/KSIngestor.java

@@ -15,6 +15,7 @@ import org.springframework.ai.transformer.splitter.TokenTextSplitter;
 import org.springframework.ai.vectorstore.SearchRequest;
 import org.springframework.ai.vectorstore.VectorStore;
 import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.core.io.Resource;
 import org.springframework.stereotype.Service;
 
@@ -38,6 +39,12 @@ public class KSIngestor {
     @Autowired
     private VectorStore vectorStore;
 
+    @Value("${ksingestor.embedded.doc.batch.size:20}")
+    private int embDocsBatchSize;
+
+    @Value("${ksingestor.embedded.doc.retry.time:20000}")
+    private int embDocRetryTime;
+
 
     Logger logger = LoggerFactory.getLogger(KSIngestor.class);
 
@@ -209,14 +216,22 @@ public class KSIngestor {
         logger.info("Embedding documents");
 
         docs.forEach(doc -> logger.info("Document metadata: " + doc.getMetadata()));
+
+        int batchSize = embDocsBatchSize;
+        for (int i = 0; i < docs.size(); i += batchSize) {
+            int end = Math.min(i + batchSize, docs.size());
+            List<Document> currentList = docs.subList(i, end);
             try {
-            vectorStore.add(docs);
+                Thread.sleep(embDocRetryTime);
-            logger.info("Documents embedded");
+                vectorStore.add(currentList);
+                logger.info("Documents embedded - Progress: Batch from {} to {} completed", i, end);
             } catch (Exception e) {
-            logger.error("Error embedding documents: ", e);
+                logger.error("Error embedding documents from {} to {}: {}", i, end, e.getMessage());
             }
         }
 
+    }
+
     public List<String> testSimilaritySearch(String query,String filterQuery) {
         SearchRequest searchRequest = SearchRequest.defaults().withQuery(query).withTopK(5).withSimilarityThreshold(0.1);