trying ada embeddings

app.py

@@ -5,15 +5,16 @@ from llama_index.core import (
     StorageContext,
     load_index_from_storage, Settings,
 )
-from llama_index.llms.huggingface import HuggingFaceLLM
+from llama_index.embeddings.openai import OpenAIEmbedding
 import torch
 PERSIST_DIR = './storage'
 
+
 # Configure the settings
 DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-
-Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5", device="cpu")
+Settings.embed_model = OpenAIEmbedding()
+# Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5", device="cpu")
 
 Settings.llm = HuggingFaceLLM(
     model_name="meta-llama/Meta-Llama-3-8B-Instruct",

storage/default__vector_store.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6810463cffd5fbaec06192c5abca1003177629d221a4fa589ccee79d7e50ffa2
-size 200616584
+oid sha256:eb0befaddec7950c565951a9cc8e60acaba5d197c2d4886f419dcee6896680b2
+size 397136247

storage/docstore.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff56df5524d10282d6a8fd911cd9718320dc58bcf2995c8f1c8d909a344e13aa
-size 55884294
+oid sha256:46fd63226ff854bab49a645a2194317b3883247b4ecb98f7944438044e06349f
+size 44043711

storage/index_store.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0c1c2fe69a4be4c0394fae2fa339b15e24d4cc8d4c09a3e37b629e4b9dc158f7
-size 958771
+oid sha256:00d5d0f5b20c06f13b0dd622d898396862fd12d77a1fd5e55550704bda465c6d
+size 959947