resolved embedding fi=unction issue

email_ai.py

@@ -9,7 +9,7 @@ from langchain_core.messages import HumanMessage, SystemMessage
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 from langchain_huggingface import HuggingFaceEmbeddings
 
-# from langchain.vectorstores import Chroma
+from langchain.vectorstores import Chroma
 from langchain.schema.runnable import RunnablePassthrough
 
 # from langchain_openai import ChatOpenAI
@@ -18,7 +18,7 @@ from langchain.prompts import ChatPromptTemplate
 import google.generativeai as genai
 import os
 from dotenv import load_dotenv
-import chromadb
+# import chromadb
 
 # Load environment variables
 load_dotenv()
@@ -34,17 +34,17 @@ def initialize_conversation():
 
     # client = chromadb.PersistentClient()
     # Connect to your ChromaDB instance
-    client = chromadb.PersistentClient(path="chroma_langchain_db1")
-
+    # client = chromadb.PersistentClient(path="chroma_langchain_db1")
+# 
     # collection_names = client.list_collections()
 
     # for name in collection_names:
     #     print(name)
 
-    insurance_collection = client.get_collection(name='langchain', embedding_function=embeddings_model)
+    # insurance_collection = client.get_collection(name='langchain', embedding_function=embeddings_model)
 
-    # db = Chroma(persist_directory="/Users/daddy/aimlprojects/email_ai/chroma_langchain_db1", embedding_function=embeddings_model)
-    chroma_retriever = insurance_collection.as_retriever(search_kwargs={"k":50})
+    db = Chroma(persist_directory="chroma_langchain_db1", embedding_function=embeddings_model)
+    chroma_retriever = db.as_retriever(search_kwargs={"k":50})
 
     return llm, chroma_retriever
 # initialize_conversation()