Merge branch 'main' into feat/new-login

* main: (77 commits)
  feat: add voyage ai as a new model provider (#8747)
  docs: add english versions for the files customizable_model_scale_out and predefined_model_scale_out (#8871)
  fix: #8843 event: tts_message_end always return in api streaming resp… (#8846)
  Add Jamba and Llama3.2 model support (#8878)
  fix(workflow): update tagging logic in GitHub Actions (#8882)
  chore: bump ruff to 0.6.8 for fixing violation in SIM910 (#8869)
  refactor: update Callback to an abstract class (#8868)
  feat: deprecate gte-Qwen2-7B-instruct embedding model (#8866)
  feat: add internlm2.5-20b and qwen2.5-coder-7b model (#8862)
  fix: customize model credentials were invalid despite the provider credentials being active (#8864)
  fix: update qwen2.5-coder-7b model name (#8861)
  fix(workflow/nodes/knowledge-retrieval/use-config): Preserve rerankin… (#8842)
  chore: fix wrong VectorType match case (#8857)
  feat: add min-connection and max-connection for pgvector (#8841)
  feat(Tools): add feishu tools (#8800)
  fix: delete harm catalog settings for gemini (#8829)
  Add Llama3.2 models in Groq provider (#8831)
  feat: deprecate mistral model for siliconflow (#8828)
  fix: AnalyticdbVector retrieval scores (#8803)
  fix: close log status option raise error (#8826)
  ...

api/controllers/console/datasets/datasets.py

@@ -563,10 +563,10 @@ class DatasetRetrievalSettingApi(Resource):
             case (
                 VectorType.MILVUS
                 | VectorType.RELYT
-                | VectorType.PGVECTOR
                 | VectorType.TIDB_VECTOR
                 | VectorType.CHROMA
                 | VectorType.TENCENT
+                | VectorType.PGVECTO_RS
             ):
                 return {"retrieval_method": [RetrievalMethod.SEMANTIC_SEARCH.value]}
             case (
@@ -577,6 +577,7 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.MYSCALE
                 | VectorType.ORACLE
                 | VectorType.ELASTICSEARCH
+                | VectorType.PGVECTOR
             ):
                 return {
                     "retrieval_method": [