feat:knowledge management

1.merge main branch
2.rebuild knowledge management
3.static js

tools/knowledge_init.py

@@ -30,23 +30,26 @@ class LocalKnowledgeInit:
 
     def knowledge_persist(self, file_path):
         """knowledge persist"""
+        docs = []
+        embedding_engine = None
         for root, _, files in os.walk(file_path, topdown=False):
             for file in files:
                 filename = os.path.join(root, file)
-                # docs = self._load_file(filename)
                 ke = KnowledgeEmbedding(
                     knowledge_source=filename,
                     knowledge_type=KnowledgeType.DOCUMENT.value,
                     model_name=self.model_name,
                     vector_store_config=self.vector_store_config,
                 )
-                client = ke.init_knowledge_embedding()
-                client.source_embedding()
+                embedding_engine = ke.init_knowledge_embedding()
+                doc = ke.read()
+                docs.extend(doc)
+        embedding_engine.index_to_store(docs)
         print(f"""begin create {self.vector_store_config["vector_store_name"]} space""")
         space = KnowledgeSpaceRequest
         space.name = self.vector_store_config["vector_store_name"]
-        space.desc = ""
-        space.owner = "knowledge_init.py"
+        space.desc = "knowledge_init.py"
+        space.owner = "DB-GPT"
         knowledge_space_service.create_knowledge_space(space)