Update App/Embedding/utils/Initialize.py
Browse files
App/Embedding/utils/Initialize.py
CHANGED
|
@@ -20,8 +20,8 @@ async def delete_documents(task_id):
|
|
| 20 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 21 |
|
| 22 |
|
| 23 |
-
pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 24 |
-
vector_index =
|
| 25 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 26 |
|
| 27 |
docsearch.delete(
|
|
@@ -64,8 +64,8 @@ def search(query: str, task_id: str):
|
|
| 64 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 65 |
|
| 66 |
|
| 67 |
-
pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 68 |
-
vector_index =
|
| 69 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 70 |
|
| 71 |
filtering_conditions = {
|
|
@@ -90,8 +90,8 @@ def encode(temp: list[Document]):
|
|
| 90 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 91 |
|
| 92 |
|
| 93 |
-
pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 94 |
-
vector_index =
|
| 95 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 96 |
docsearch.add_documents(temp)
|
| 97 |
# return embeddings.embed_documents(texts = [d.page_content for d in temp])
|
|
|
|
| 20 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 21 |
|
| 22 |
|
| 23 |
+
pc=pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 24 |
+
vector_index = pc.Index(index_name=index_name)
|
| 25 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 26 |
|
| 27 |
docsearch.delete(
|
|
|
|
| 64 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 65 |
|
| 66 |
|
| 67 |
+
pc=pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 68 |
+
vector_index = pc.Index(index_name=index_name)
|
| 69 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 70 |
|
| 71 |
filtering_conditions = {
|
|
|
|
| 90 |
embeddings = HuggingFaceEmbeddings(model_name=model_name)
|
| 91 |
|
| 92 |
|
| 93 |
+
pc=pinecone.Pinecone(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
|
| 94 |
+
vector_index = pc.Index(index_name=index_name)
|
| 95 |
docsearch = Pinecone.from_existing_index(index_name, embeddings)
|
| 96 |
docsearch.add_documents(temp)
|
| 97 |
# return embeddings.embed_documents(texts = [d.page_content for d in temp])
|