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InvalidCollectionException: Collection autogen-docs does not exist.
I am following this sample https://microsoft.github.io/autogen/blog/2023/10/18/RetrieveChat/ and it always return below error. Could you teach me how to resolve this?
[Sep 20] This also shows the same error. https://microsoft.github.io/autogen/docs/topics/retrieval_augmentation/
ragproxyagent.initiate_chat(assistant, message=ragproxyagent.message_generator, problem="What is autogen?") Trying to create collection. --------------------------------------------------------------------------- InvalidCollectionException Traceback (most recent call last) Cell In[10], line 1 ----> 1 ragproxyagent.initiate_chat(assistant, message=ragproxyagent.message_generator, problem="What is autogen?") File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1084, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs) 1082 self._prepare_chat(recipient, clear_history) 1083 if isinstance(message, Callable): -> 1084 msg2send = message(_chat_info["sender"], _chat_info["recipient"], kwargs) 1085 else: 1086 msg2send = self.generate_init_message(message, **kwargs) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:636, in RetrieveUserProxyAgent.message_generator(sender, recipient, context) 633 n_results = context.get("n_results", 20) 634 search_string = context.get("search_string", "") --> 636 sender.retrieve_docs(problem, n_results, search_string) 637 sender.problem = problem 638 sender.n_results = n_results File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:560, in RetrieveUserProxyAgent.retrieve_docs(self, problem, n_results, search_string) 558 if not self._collection or not self._get_or_create: 559 print("Trying to create collection.") --> 560 self._init_db() 561 self._collection = True 562 self._get_or_create = True File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:339, in RetrieveUserProxyAgent._init_db(self) 336 else: 337 IS_TO_CHUNK = True --> 339 self._vector_db.active_collection = self._vector_db.create_collection( 340 self._collection_name, overwrite=self._overwrite, get_or_create=self._get_or_create 341 ) 343 docs = None 344 if IS_TO_CHUNK: File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/vectordb/chromadb.py:86, in ChromaVectorDB.create_collection(self, collection_name, overwrite, get_or_create) 84 collection = self.active_collection 85 else: ---> 86 collection = self.client.get_collection(collection_name, embedding_function=self.embedding_function) 87 except ValueError: 88 collection = None File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/api/client.py:142, in Client.get_collection(self, name, id, embedding_function, data_loader) 132 @override 133 def get_collection( 134 self, (...) 140 data_loader: Optional[DataLoader[Loadable]] = None, 141 ) -> Collection: --> 142 model = self._server.get_collection( 143 id=id, 144 name=name, 145 tenant=self.tenant, 146 database=self.database, 147 ) 148 return Collection( 149 client=self._server, 150 model=model, 151 embedding_function=embedding_function, 152 data_loader=data_loader, 153 ) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/telemetry/opentelemetry/__init__.py:146, in trace_method.<locals>.decorator.<locals>.wrapper(*args, **kwargs) 144 global tracer, granularity 145 if trace_granularity < granularity: --> 146 return f(*args, **kwargs) 147 if not tracer: 148 return f(*args, **kwargs) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/api/segment.py:251, in SegmentAPI.get_collection(self, name, id, tenant, database) 249 return existing[0] 250 else: --> 251 raise InvalidCollectionException(f"Collection {name} does not exist.") InvalidCollectionException: Collection autogen-docs does not exist.
Below is the code. This also happened with OPEN AI API.
import autogen import litellm from autogen import AssistantAgent from autogen.agentchat.contrib.retrieve_user_proxy_agent import RetrieveUserProxyAgent llm_config = { "config_list": [ { "model": "NotRequired", # Loaded with LiteLLM command "api_key": "NotRequired", # Not needed "base_url": "http://0.0.0.0:4000/", # Your LiteLLM URL "price": [0, 0], # Put in price per 1K tokens [prompt, response] as free! } ], "cache_seed": None, # Turns off caching, useful for testing different models } assistant = AssistantAgent( name="assistant", system_message="You are a helpful assistant.", llm_config=llm_config, ) ragproxyagent = RetrieveUserProxyAgent( name="ragproxyagent", retrieve_config={ "task": "qa", "docs_path": "https://github.com/microsoft/autogen/main/README.md", }, code_execution_config=False ) assistant.reset() ragproxyagent.initiate_chat(assistant, message=ragproxyagent.message_generator, problem="What is autogen?")
Trying to create collection. --------------------------------------------------------------------------- InvalidCollectionException Traceback (most recent call last) Cell In[10], line 1 ----> 1 ragproxyagent.initiate_chat(assistant, message=ragproxyagent.message_generator, problem="What is autogen?") File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1084, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs) 1082 self._prepare_chat(recipient, clear_history) 1083 if isinstance(message, Callable): -> 1084 msg2send = message(_chat_info["sender"], _chat_info["recipient"], kwargs) 1085 else: 1086 msg2send = self.generate_init_message(message, **kwargs) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:636, in RetrieveUserProxyAgent.message_generator(sender, recipient, context) 633 n_results = context.get("n_results", 20) 634 search_string = context.get("search_string", "") --> 636 sender.retrieve_docs(problem, n_results, search_string) 637 sender.problem = problem 638 sender.n_results = n_results File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:560, in RetrieveUserProxyAgent.retrieve_docs(self, problem, n_results, search_string) 558 if not self._collection or not self._get_or_create: 559 print("Trying to create collection.") --> 560 self._init_db() 561 self._collection = True 562 self._get_or_create = True File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/retrieve_user_proxy_agent.py:339, in RetrieveUserProxyAgent._init_db(self) 336 else: 337 IS_TO_CHUNK = True --> 339 self._vector_db.active_collection = self._vector_db.create_collection( 340 self._collection_name, overwrite=self._overwrite, get_or_create=self._get_or_create 341 ) 343 docs = None 344 if IS_TO_CHUNK: File ~/miniconda3/envs/torch/lib/python3.10/site-packages/autogen/agentchat/contrib/vectordb/chromadb.py:86, in ChromaVectorDB.create_collection(self, collection_name, overwrite, get_or_create) 84 collection = self.active_collection 85 else: ---> 86 collection = self.client.get_collection(collection_name, embedding_function=self.embedding_function) 87 except ValueError: 88 collection = None File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/api/client.py:142, in Client.get_collection(self, name, id, embedding_function, data_loader) 132 @override 133 def get_collection( 134 self, (...) 140 data_loader: Optional[DataLoader[Loadable]] = None, 141 ) -> Collection: --> 142 model = self._server.get_collection( 143 id=id, 144 name=name, 145 tenant=self.tenant, 146 database=self.database, 147 ) 148 return Collection( 149 client=self._server, 150 model=model, 151 embedding_function=embedding_function, 152 data_loader=data_loader, 153 ) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/telemetry/opentelemetry/__init__.py:146, in trace_method.<locals>.decorator.<locals>.wrapper(*args, **kwargs) 144 global tracer, granularity 145 if trace_granularity < granularity: --> 146 return f(*args, **kwargs) 147 if not tracer: 148 return f(*args, **kwargs) File ~/miniconda3/envs/torch/lib/python3.10/site-packages/chromadb/api/segment.py:251, in SegmentAPI.get_collection(self, name, id, tenant, database) 249 return existing[0] 250 else: --> 251 raise InvalidCollectionException(f"Collection {name} does not exist.") InvalidCollectionException: Collection autogen-docs does not exist.
pyautogen 0.2.34 Python 3.10.0 macOS. 13.2.1 (22D68)
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Describe the issue
I am following this sample https://microsoft.github.io/autogen/blog/2023/10/18/RetrieveChat/ and it always return below error. Could you teach me how to resolve this?
[Sep 20] This also shows the same error. https://microsoft.github.io/autogen/docs/topics/retrieval_augmentation/
Steps to reproduce
Below is the code. This also happened with OPEN AI API.
Screenshots and logs
Additional Information
The text was updated successfully, but these errors were encountered: