Retrieve a list of documents that are similar to the provided query vector.

Add a list of documents to the index. Each document is represented as a vector.

Retrieve a list of all the datasets in the project.

Retrieve information about an existing index.

Retrieve information about an existing dataset.

Delete a page of documents from an index.

Retrieve a list of documents that are similar to the provided query embeddings. Optionally compute pairwise distances.

Retrieve a single page of documents from the index.

Retrieves a list of documents that are similar to the provided query vector.

The #1 vector database. Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

Pinecone

Python Client

Node.JS Client

jQuery

Cloudflare

jsDelivr

Webhook for receiving real-time updates on index changes.

Webhook for receiving real-time updates on query results.

Webhook for receiving notifications about application events.

Pinecone Integrations

Pinecone Integrations

Details

Other Apps