diff --git a/api/__init__.py b/api/__init__.py
index f4318614..894f18a2 100644
--- a/api/__init__.py
+++ b/api/__init__.py
@@ -507,6 +507,7 @@ class LoLLMsAPPI(LollmsApplication):
                 path:Path = self.lollms_paths.personal_uploads_path / self.personality.personality_folder_name
                 path.mkdir(parents=True, exist_ok=True)
                 file_path = path / data["filename"]
+                File64BitsManager.b642file(data["fileData"],file_path)
                 if self.personality.processor:
                     self.personality.processor.add_file(file_path, partial(self.process_chunk, client_id=client_id))
                 else:
@@ -972,20 +973,16 @@ class LoLLMsAPPI(LollmsApplication):
             composed_messages = self.model.detokenize(t[-nb_tk:])
             ASCIIColors.warning(f"Cropping discussion to fit context [using {nb_tk} tokens/{self.config.ctx_size}]")
         discussion_messages = composed_messages
-        tokens = self.model.tokenize(discussion_messages)
         
-        if self.config["debug"]:
-            ASCIIColors.yellow(discussion_messages)
-            ASCIIColors.info(f"prompt size:{len(tokens)} tokens")
+        
 
 
         if len(self.personality.files)>0 and self.personality.vectorizer:
-            pr = PromptReshaper("!@>Documentation:{{doc}}\n{{conditionning}}{{content}}")
+            pr = PromptReshaper("!@>Document chunks:\n{{doc}}\n{{conditionning}}\n{{content}}")
             emb = self.personality.vectorizer.embed_query(message.content)
-            doc = self.personality.vectorizer.recover_text(emb, top_k=self.config.data_vectorization_nb_chunks)     
-            # TODO, fix       
+            docs, sorted_similarities = self.personality.vectorizer.recover_text(emb, top_k=self.config.data_vectorization_nb_chunks)     
             discussion_messages = pr.build({
-                                    "doc":doc,
+                                    "doc":"\n".join(docs),
                                     "conditionning":self.personality.personality_conditioning,
                                     "content":discussion_messages
                                     }, self.model.tokenize, self.model.detokenize, self.config.ctx_size, place_holders_to_sacrifice=["content"])
@@ -996,6 +993,10 @@ class LoLLMsAPPI(LollmsApplication):
                                     "content":discussion_messages
                                     }, self.model.tokenize, self.model.detokenize, self.config.ctx_size, place_holders_to_sacrifice=["content"])
 
+        if self.config["debug"]:
+            tokens = self.model.tokenize(discussion_messages)
+            ASCIIColors.yellow(discussion_messages)
+            ASCIIColors.info(f"prompt size:{len(tokens)} tokens")
 
         return discussion_messages, message.content, tokens
 
diff --git a/app.py b/app.py
index 3a277795..9b75b389 100644
--- a/app.py
+++ b/app.py
@@ -1510,7 +1510,7 @@ class LoLLMsWebUI(LoLLMsAPPI):
         data = request.get_json()
         id = data['id']
         print(f"- Selecting active personality {id} ...",end="")
-        if id<len(self.config["personalities"]) and id<len(self.mounted_personalities):
+        if id<len(self.mounted_personalities):
             self.config["active_personality_id"]=id
             self.personality = self.mounted_personalities[self.config["active_personality_id"]]
             self.apply_settings()
@@ -1522,7 +1522,7 @@ class LoLLMsWebUI(LoLLMsAPPI):
                 "active_personality_id":self.config["active_personality_id"]                
                 })
         else:
-            ASCIIColors.error(f"nok : personality id out of bounds @ {id} >= {len(self.config['personalities'])}")
+            ASCIIColors.error(f"nok : personality id out of bounds @ {id} >= {len(self.mounted_personalities)}")
             return jsonify({"status": False, "error":"Invalid ID"})         
                     
 
diff --git a/docs/youtube/lollms_lawyer b/docs/youtube/lollms_lawyer
new file mode 100644
index 00000000..facf441c
--- /dev/null
+++ b/docs/youtube/lollms_lawyer
@@ -0,0 +1,13 @@
+Disclaimer:
+As any AI model, the models used on lollms are sometimes prone to errors
+and bias. This is not a replacement for lawyers but just a tool that may help
+you if you didn't understand some terms in a document or if you have
+a big document and need to look for a specific part of it.
+
+The quality of the answers will depend on the model you are using.
+larger models tend to be better, but there is no garantee that the answer is correct. 
+
+
+Make sure you contact a legal professional for serious matters.
+Thanks for watching
+See ya
\ No newline at end of file