Hi I am creating an index but my session keeps crashing out. Can anyone guide me with the problem?
Here is the llm which I am using for embedding:
# Embedding Model Setting
Settings.embed_model = HuggingFaceEmbedding(
model_name="jinaai/jina-embeddings-v2-base-es"
)
This model outputs 768 embedding dimensions.
Here I am creating QdrantVectorStore index
vector_store = QdrantVectorStore(client=QDRANT_CLIENT, collection_name=collection_name)
storage_context = StorageContext.from_defaults(vector_store=vector_store)
index = VectorStoreIndex.from_documents(
documents,
storage_context=storage_context,
)
But it crashes