update whether to recommend (#476)

ChelseyZ · web-flow · commit 76c3fa007098 · 2025-10-21T22:34:34.000-07:00
diff --git a/blog/en/smarter-retrieval-for-rag-late-chunking-with-jina-embeddings-v2-and-milvus.md b/blog/en/smarter-retrieval-for-rag-late-chunking-with-jina-embeddings-v2-and-milvus.md
@@ -8,7 +8,7 @@ desc: Boost RAG accuracy using Late Chunking and Milvus for efficient, context
 cover: assets.zilliz.com/Milvus_Meets_Late_Chunking_Smarter_Retrieval_for_RAG_4f9640fffd.png
 tag: Tutorials
 tags: Milvus, Vector Database, Open Source, Vector Embeddings
-recommend: true
+recommend: False
 meta_keywords: Late Chunking, RAG accuracy, vector database, Milvus, document embeddings
 canonicalUrl: https://milvus.io/blog/smarter-retrieval-for-rag-late-chunking-with-jina-embeddings-v2-and-milvus.md
 ---
diff --git a/blog/en/when-context-engineering-is-done-right-hallucinations-can-spark-ai-creativity.md b/blog/en/when-context-engineering-is-done-right-hallucinations-can-spark-ai-creativity.md
@@ -7,7 +7,7 @@ date: 2025-09-30
 desc:  Discover why AI hallucinations aren’t just errors but sparks of creativity—and how context engineering turns them into reliable, real-world outcomes.
 cover: assets.zilliz.com/Chat_GPT_Image_Oct_1_2025_10_42_15_AM_101639b3bf.png
 tag: Engineering
-recommend: false
+recommend: True
 publishToMedium: true
 tags: Milvus, vector database, AI Agents, Context Engineering
 meta_keywords: Milvus, vector database, AI Agents, Context Engineering
