Add bce-embedding and fastembed (#383)

### What problem does this PR solve?


Issue link:#326

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

api/apps/chunk_app.py

@@ -252,7 +252,7 @@ def retrieval_test():
             return get_data_error_result(retmsg="Knowledgebase not found!")
 
         embd_mdl = TenantLLMService.model_instance(
-            kb.tenant_id, LLMType.EMBEDDING.value)
+            kb.tenant_id, LLMType.EMBEDDING.value, llm_name=kb.embd_id)
         ranks = retrievaler.retrieval(question, embd_mdl, kb.tenant_id, [kb_id], page, size, similarity_threshold,
                                       vector_similarity_weight, top, doc_ids)
         for c in ranks["chunks"]:

api/apps/document_app.py

@@ -15,6 +15,7 @@
 #
 
 import base64
+import os
 import pathlib
 import re
 

api/apps/llm_app.py

@@ -28,7 +28,7 @@ from rag.llm import EmbeddingModel, ChatModel
 def factories():
     try:
         fac = LLMFactoriesService.get_all()
-        return get_json_result(data=[f.to_dict() for f in fac])
+        return get_json_result(data=[f.to_dict() for f in fac if f.name not in ["QAnything", "FastEmbed"]])
     except Exception as e:
         return server_error_response(e)
 
@@ -174,7 +174,7 @@ def list():
         llms = [m.to_dict()
                 for m in llms if m.status == StatusEnum.VALID.value]
         for m in llms:
-            m["available"] = m["fid"] in facts or m["llm_name"].lower() == "flag-embedding"
+            m["available"] = m["fid"] in facts or m["llm_name"].lower() == "flag-embedding" or m["fid"] in ["QAnything","FastEmbed"]
 
         llm_set = set([m["llm_name"] for m in llms])
         for o in objs: