Data not getting ingested to Pinecone index

Support
1

Hi,
The below python code is executing successfully to load the texts in Pinecone INDEX_NAME=medium-blog-embeddings-index.
But, I still don’t see the records in Pinecone index. Please suggest if there is Pinecone issue or I need to write additional Python code to ingest data?
from langchain_pinecone import PineconeVectorStore
PineconeVectorStore.from_documents(texts, embeddings, index_name=os.environ[‘INDEX_NAME’])

2

To verify if your data was successfully loaded, you can check the index stats:

python

from pinecone.grpc import PineconeGRPC as Pinecone
pc = Pinecone(api_key="YOUR_API_KEY")index = pc.Index(host="INDEX_HOST") 
index.describe_index_stats()

This will return stats including the total vector count and namespace details to confirm if your records were ingested.

For loading documents with LangChain, make sure you’re following this pattern:

python

import osfrom langchain_pinecone import PineconeVectorStorefrom langchain_openai import OpenAIEmbeddings
os.environ['OPENAI_API_KEY'] = '<YOUR_OPENAI_API_KEY>'os.environ['PINECONE_API_KEY'] = '<YOUR_PINECONE_API_KEY>'
index_name = "<YOUR_PINECONE_INDEX_NAME>"embeddings = OpenAIEmbeddings()
vectorstore_from_texts = PineconeVectorStore.from_texts(    texts,    index_name=index_name,     embedding=embeddings)

Things to verify:

  • Make sure your environment variables are set correctly
  • Check that the embeddings object is properly initialized
  • Verify the index exists and is ready before loading data