Pinecone
API integration

get_single_pinecone_index_by_id

Get a specific Pinecone index by id. Returns the full index object including name, host, metric, dimension, spec, deletion_protection, and status. Required: id.

create_a_pinecone_index

Create a new Pinecone index for dense vectors, sparse vectors, or full-text search documents. Returns the created index object including name, host, and status. Required: name and spec (with cloud and region). Dense vector indexes also require dimension and metric; sparse vector indexes require metric set to dotproduct.

list_all_pinecone_indexes

List all Pinecone indexes in the current project. Returns an array of index objects including name, dimension, metric, host, and status for each.

update_a_pinecone_index_by_id

Update configuration for a Pinecone index by id. Supports updating deletion_protection and tags. Required: id.

delete_a_pinecone_index_by_id

Delete a Pinecone index by id. Returns an empty response on success. Required: id.

pinecone_indexes_create_for_model

Create a Pinecone index with integrated embedding that automatically converts source text to dense or sparse vectors using a hosted model. Returns the created index object. Required: name, cloud, region, and embed (with model and field_map).

pinecone_indexes_describe_index_stats

Get statistics for a Pinecone index including dimension, index fullness, total vector count, and per-namespace vector counts. Required: index_host.

update_a_pinecone_vector_by_id

Update a Pinecone vector's dense values and/or metadata by id. Returns an empty response on success.

delete_a_pinecone_vector_by_id

Delete Pinecone vectors by id list, metadata filter, or by deleting all vectors in a namespace. Returns an empty response on success. Provide at least one of ids, filter, or deleteAll.

pinecone_vectors_bulk_create

Upsert (insert or update) vectors into a Pinecone index namespace. Existing records with the same id are fully overwritten. Returns upsertedCount. Required: vectors.

get_single_pinecone_vector_by_id

Fetch Pinecone vectors by their ids. Returns vector objects including id, values, and metadata. Required: ids.

list_all_pinecone_vectors

List vector ids in a Pinecone index namespace. Returns vector id objects. Optionally filter by id prefix.

pinecone_vectors_search

Query a Pinecone index for the most similar vectors to a given query vector or vector id. Returns matches including id, score, values, and metadata. Required: topK.

create_a_pinecone_import

Start an asynchronous bulk import of vectors from object storage (Amazon S3, Google Cloud Storage, or Azure Blob Storage) into a Pinecone serverless index. Returns the import `id` for tracking progress. Required: `uri`.

delete_a_pinecone_import_by_id

Cancel a Pinecone bulk import operation by id if it has not yet finished. Has no effect if the import is already complete. Returns an empty response on success.

get_single_pinecone_import_by_id

Get details of a specific Pinecone bulk import by id. Returns: id, uri, status, percent_complete, records_imported, created_at, finished_at, and an error message if the import failed.

list_all_pinecone_imports

List all recent and ongoing Pinecone bulk imports for an index. Returns an array of import objects each including id, uri, status, percent_complete, and records_imported.

create_a_pinecone_collection

Create a Pinecone collection (a static backup of a pod-based index). Returns the created collection object including its name. Required: name, source. Collections are a pod-only feature and are not supported for serverless indexes.

list_all_pinecone_collections

List all Pinecone collections in the current project. Returns: name, status, environment, size, vector_count, and dimension for each collection. Serverless indexes do not support collections.

get_single_pinecone_collection_by_id

Get details about a specific collection in Pinecone. Requires id. Returns name, status, environment, size, vector_count, and dimension of the collection. Serverless indexes do not support collections.

delete_a_pinecone_collection_by_id

Delete a collection in Pinecone. Requires id as collection_name. Returns a 202 status on successful deletion. Serverless indexes do not support collections.

delete_a_pinecone_record_by_id

Delete Pinecone records from a namespace by record IDs, a metadata filter expression, or delete all records at once. Returns an empty response on success. Required: namespace. Max 1000 IDs per request when deleting by ID.

list_all_pinecone_records

List record IDs stored in a Pinecone namespace. Returns an array of record id values. Required: namespace.

pinecone_records_search

Search a Pinecone namespace for semantically similar records using a query text or vector. Returns hits including _id, _score, and requested fields. Required: namespace, query (with top_k and inputs).

create_a_pinecone_record

Upsert records into a Pinecone namespace using NDJSON format, inserting new records or updating existing ones matched by id. Required: namespace.

create_a_pinecone_backup

Create a backup of a Pinecone index. Returns the new backup object including backup_id, status, source_index_name, cloud, region, and created_at. Required: index_name.

delete_a_pinecone_backup_by_id

Delete a Pinecone backup by id. Returns an empty response on success. Required: id.

get_single_pinecone_backup_by_id

Get the description of a Pinecone backup by id. Returns: backup_id, source_index_name, status, name, description, cloud, region, dimension, record_count, and created_at. Required: id.

list_all_pinecone_backups

List all Pinecone backups for a project. Returns an array of backup objects each including backup_id, source_index_name, status, name, cloud, region, and created_at.

pinecone_backups_index

Create an index from a specific backup in Pinecone. Requires backup_id. Returns restore_job_id (the created restore job’s identifier) and index_id (the newly created index identifier).

get_single_pinecone_restore_job_by_id

Get a description of a Pinecone restore job by id. Returns: restore_job_id, backup_id, target_index_name, status, percent_complete, created_at, completed_at. Required: id.

list_all_pinecone_restore_jobs

List all Pinecone restore jobs for a project. Returns an array of restore job objects including restore_job_id, backup_id, target_index_name, status, and percent_complete.

list_all_pinecone_index_backups

List all backups for a Pinecone index. Returns: backup_id, source_index_name, status, cloud, region, created_at. Required: index_name.

create_a_pinecone_namespace

Create a namespace in a Pinecone serverless index. Returns the created namespace including name, record_count, and schema. Required: name. Not supported for pod-based indexes.

delete_a_pinecone_namespace_by_id

Delete a namespace from a Pinecone serverless index by id. Permanently removes all data in the namespace — this action is irreversible. Returns an empty response on success. Required: id. Not supported for pod-based indexes.

get_single_pinecone_namespace_by_id

Get details of a Pinecone namespace by id. Returns: name, record_count. Required: id. Not supported for pod-based indexes.

list_all_pinecone_namespaces

List all namespaces in a Pinecone serverless index. Returns each namespace's name and record_count. Not supported for pod-based indexes.

get_single_pinecone_model_by_id

Get a description of a specific Pinecone hosted model by id. Returns: model name, type, vector_type, default_dimension, modality, provider_name, and supported_parameters. Required: id.

list_all_pinecone_models

List all embedding and reranking models hosted by Pinecone. Returns an array of models, each including model name, type, vector_type, default_dimension, modality, provider_name, and supported_parameters.

create_a_pinecone_embedding

Generate vector embeddings for input data using Pinecone's hosted embedding models. Returns: data (array of embedding value arrays), model name, and usage (total_tokens). Required: model and inputs.

create_a_pinecone_rerank

Rerank a list of documents by relevance to a query using Pinecone's inference API. Returns a ranked `data` array of results each containing `index`, `document`, and `score`, plus `usage.rerank_units`. Required: `model`, `query`, and `documents`.

list_all_pinecone_vector_records

List vector records from a Pinecone index by fetching vectors matched against metadata. Returns a collection of vectors from the specified index. Required: index_host.

list_all_pinecone_backup_schedules

List all backup_schedules for a specific index in Pinecone. Requires index_name. Returns schedule_id, name, index_id, project_id, schedule_type, frequency, retention_expire_after_days, enabled, next_scheduled_run, and created_at in the response.

get_single_pinecone_backup_schedule_by_id

Get details of a specific backup schedule in Pinecone. Requires id. Returns schedule_id, name, index_id, project_id, schedule_type, frequency, retention_expire_after_days, enabled, next_scheduled_run, and created_at.

update_a_pinecone_backup_schedule_by_id

Update a backup schedule in Pinecone. Requires id. Returns schedule_id, name, index_id, project_id, schedule_type, frequency, retention_expire_after_days, enabled, next_scheduled_run, and created_at in the response.

delete_a_pinecone_backup_schedule_by_id

Delete a backup schedule in Pinecone using id. This operation removes the schedule but does not delete backups created by it. Returns a 204 status code upon successful deletion.

list_all_pinecone_backup_schedule_history

List backup schedule history in Pinecone for a specific schedule_id. Returns details including backup_id, status, scheduled_execution_at, cloud, region, and created_at for each backup entry.