Uploads embeddings into Pinecone index specified in pinecone_config. The Index will be created if it doesn't exist.

Each record in the Index will have the following metadata populated:

• "id", String
• "content", String
• "url", String
• "filepath", String
• "title", String
• "metadata_json_string", String

"metadata_json_string" contains all metadata for a document/record serialized as a JSON string.

Version: 0.0.39

Preview

View in Studio: https://ml.azure.com/registries/azureml/components/llm_rag_update_pinecone_index/version/0.0.39

Name	Description	Type	Default	Optional	Enum
embeddings	Embeddings output produced from parallel_create_embeddings.	uri_folder
pinecone_config	JSON string containing the Pinecone index configuration. e.g. {"index_name": "my-index"}	string
connection_id	The id of the connection to the Pinecone project where the index lives.	string		True

Name	Description	Type
index	Uri folder containing the MLIndex yaml describing the newly created/updated Pinecone index.	uri_folder

azureml:llm-rag-embeddings@latest