Pinecone × Tines

Integrating Tines and Pinecone streamlines the process of automating code-less workflows while efficiently managing and searching through vector data for enhanced operational efficiency.

Pre-built templates

With Tines, you can easily take any action that has a defined API. We've already pre-built some of the most popular ones for you, so you can build quickly.

Upsert vectors
Upsert text
Update a vector
Start import
Search with text
Search with a vector
Rerank documents
List vector IDs
List restore jobs
List namespaces
List indexes
List imports
List collections
List backups for an index
List backups for all indexes in a project
List available models
Get index stats
Generate vectors
Fetch vectors
Describe an index

Build your own connections

With Tines, you can easily take any action that has a defined API using an HTTP request. To build even more quickly, copy a cURL command and paste it into the storyboard.

cURL request

curl -v -X GET --location "https://api.nasa.gov/neo/rest/v1/neo/browse?api_key=DEMO_KEY" -H 'Content-Type: application/json'

Paste in your Tines story

Full workflow examples

Explore pre-built workflows for Pinecone. Use them for inspiration or as a starting point to build your custom automation solution.

Process and search documents in Pinecone with Tines

Process documents and search information using Pinecone's vector database with Tines. Extract text from PDFs or plain text inputs, divide content into manageable chunks, and generate vector embeddings that enable semantic searching for enhanced information retrieval.

Created by

Michael Tolan

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