ensure original embedding config works

src/crewai/cli/reset_memories_command.py

@@ -32,10 +32,10 @@ def reset_memories_command(long, short, entity, kickoff_outputs, all) -> None:
                 click.echo("Long term memory has been reset.")
 
             if short:
-                ShortTermMemory().reset()
+                ShortTermMemory(allow_reset=True).reset()
                 click.echo("Short term memory has been reset.")
             if entity:
-                EntityMemory().reset()
+                EntityMemory(allow_reset=True).reset()
                 click.echo("Entity memory has been reset.")
             if kickoff_outputs:
                 TaskOutputStorageHandler().reset()

src/crewai/memory/storage/rag_storage.py

@@ -8,6 +8,7 @@ from typing import Any, Dict, List, Optional
 from crewai.memory.storage.base_rag_storage import BaseRAGStorage
 from crewai.utilities.paths import db_storage_path
 from chromadb.api import ClientAPI
+from chromadb.api.types import validate_embedding_function
 
 
 @contextlib.contextmanager
@@ -41,16 +42,87 @@ class RAGStorage(BaseRAGStorage):
         self.agents = agents
 
         self.type = type
-        self.embedder_config = embedder_config or self._create_embedding_function()
+
         self.allow_reset = allow_reset
         self._initialize_app()
 
+    def set_embedder_config(self):
+        if self.embedder_config is None:
+            self.embedder_config = self._create_default_embedding_function()
+        if isinstance(self.embedder_config, dict):
+            provider = self.embedder_config.get("provider")
+            config = self.embedder_config.get("config", {})
+            model_name = config.get("model")
+            if provider == "openai":
+                import chromadb.utils.embedding_functions as embedding_functions
+
+                self.embedder_config = embedding_functions.OpenAIEmbeddingFunction(
+                    api_key=config.get("api_key") or os.getenv("OPENAI_API_KEY"),
+                    model_name=model_name,
+                )
+            elif provider == "azure":
+                from chromadb.utils.embedding_functions.openai_embedding_function import (
+                    OpenAIEmbeddingFunction,
+                )
+
+                self.embedder_config = OpenAIEmbeddingFunction(
+                    api_key=config.get("api_key"),
+                    api_base=config.get("api_base"),
+                    api_type=config.get("api_type"),
+                    api_version=config.get("api_version"),
+                    model_name=model_name,
+                )
+            elif provider == "ollama":
+                from chromadb.utils.embedding_functions.ollama_embedding_function import (
+                    OllamaEmbeddingFunction,
+                )
+
+                self.embedder_config = OllamaEmbeddingFunction(
+                    model_name=config.get("model"),
+                    url=config.get("url") or "http://localhost:11434",
+                )
+            elif provider == "vertexai":
+                from chromadb.utils.embedding_functions.google_embedding_function import (
+                    GoogleVertexEmbeddingFunction,
+                )
+
+                self.embedder_config = GoogleVertexEmbeddingFunction(
+                    model_name=model_name,
+                    api_key=config.get("api_key"),
+                )
+            elif provider == "google":
+                from chromadb.utils.embedding_functions.google_embedding_function import (
+                    GoogleGenerativeAiEmbeddingFunction,
+                )
+
+                self.embedder_config = GoogleGenerativeAiEmbeddingFunction(
+                    model_name=model_name,
+                    api_key=config.get("api_key"),
+                )
+            elif provider == "cohere":
+                from chromadb.utils.embedding_functions.cohere_embedding_function import (
+                    CohereEmbeddingFunction,
+                )
+
+                self.embedder_config = CohereEmbeddingFunction(
+                    model_name=model_name,
+                    api_key=config.get("api_key"),
+                )
+            else:
+                self.embedder_config = self._create_default_embedding_function()
+        else:
+            validate_embedding_function(self.embedder_config)  # type: ignore # used for validating embedder_config if defined a embedding function/class
+            self.embedder_config = self.embedder_config
+
     def _initialize_app(self):
         import chromadb
 
+        self.set_embedder_config()
         chroma_client = chromadb.PersistentClient(
-            path=f"{db_storage_path()}/{self.type}/{self.agents}"
+            path=f"{db_storage_path()}/{self.type}/{self.agents}",
+            settings=chromadb.Settings(allow_reset=self.allow_reset),
         )
+
         self.app = chroma_client
 
         try:
@@ -122,11 +194,16 @@ class RAGStorage(BaseRAGStorage):
             if self.app:
                 self.app.reset()
         except Exception as e:
-            raise Exception(
-                f"An error occurred while resetting the {self.type} memory: {e}"
-            )
+            if "attempt to write a readonly database" in str(e):
+                print("ignoring error")
+                # Ignore this specific error
+                pass
+            else:
+                raise Exception(
+                    f"An error occurred while resetting the {self.type} memory: {e}"
+                )
 
-    def _create_embedding_function(self):
+    def _create_default_embedding_function(self):
         import chromadb.utils.embedding_functions as embedding_functions
 
         return embedding_functions.OpenAIEmbeddingFunction(