Docs Connect Components Outputs pinecone pinecone Inserts items into a Pinecone index. Introduced in version 4.31.0. Common Advanced # Common config fields, showing default values output: label: "" pinecone: max_in_flight: 64 batching: count: 0 byte_size: 0 period: "" check: "" host: "" # No default (required) api_key: "" # No default (required) operation: upsert-vectors id: "" # No default (required) vector_mapping: "" # No default (optional) metadata_mapping: "" # No default (optional) # All config fields, showing default values output: label: "" pinecone: max_in_flight: 64 batching: count: 0 byte_size: 0 period: "" check: "" processors: [] # No default (optional) host: "" # No default (required) api_key: "" # No default (required) operation: upsert-vectors namespace: "" id: "" # No default (required) vector_mapping: "" # No default (optional) metadata_mapping: "" # No default (optional) Performance This output benefits from sending multiple messages in flight in parallel for improved performance. You can tune the max number of in flight messages (or message batches) with the field max_in_flight. This output benefits from sending messages as a batch for improved performance. Batches can be formed at both the input and output level. You can find out more in this doc. Fields max_in_flight The maximum number of messages to have in flight at a given time. Increase this to improve throughput. Type: int Default: 64 batching Allows you to configure a batching policy. Type: object # Examples batching: byte_size: 5000 count: 0 period: 1s batching: count: 10 period: 1s batching: check: this.contains("END BATCH") count: 0 period: 1m batching.count A number of messages at which the batch should be flushed. If 0 disables count based batching. Type: int Default: 0 batching.byte_size An amount of bytes at which the batch should be flushed. If 0 disables size based batching. Type: int Default: 0 batching.period A period in which an incomplete batch should be flushed regardless of its size. Type: string Default: "" # Examples period: 1s period: 1m period: 500ms batching.check A Bloblang query that should return a boolean value indicating whether a message should end a batch. Type: string Default: "" # Examples check: this.type == "end_of_transaction" batching.processors A list of processors to apply to a batch as it is flushed. This allows you to aggregate and archive the batch however you see fit. Please note that all resulting messages are flushed as a single batch, therefore splitting the batch into smaller batches using these processors is a no-op. Type: array # Examples processors: - archive: format: concatenate processors: - archive: format: lines processors: - archive: format: json_array host The host for the Pinecone index. Type: string api_key The Pinecone API key. This field contains sensitive information that usually shouldn’t be added to a configuration directly, read our secrets page for more info. Type: string operation The operation to perform against the Pinecone index. Type: string Default: "upsert-vectors" Options: update-vector , upsert-vectors , delete-vectors . namespace The namespace to write to - writes to the default namespace by default. This field supports interpolation functions. Type: string Default: "" id The ID for the index entry in Pinecone. This field supports interpolation functions. Type: string vector_mapping The mapping to extract out the vector from the document. The result must be a floating point array. Required if not a delete operation. Type: string metadata_mapping An optional mapping of message to metadata in the Pinecone index entry. Type: string Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution opensearch pulsar