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Upsert Vectors

Insert or overwrite one or more vectors in a Pinecone index. Accepts vectors with their pre-computed embeddings and optional metadata.

• 3 parameters
• Index
• Namespace
• Vectors

Query Vectors

Search a Pinecone index for the most similar vectors to a query vector. Supports metadata filtering.

• 8 parameters
• Index
• Namespace
• Query Vector
• Query Vector ID
• Top K
• Metadata Filter
• Include Metadata
• Include Values

Fetch Vectors

Retrieve one or more vectors by ID from a Pinecone index.

• 3 parameters
• Index
• Namespace
• Vector IDs

Update Vector

Update the values or metadata of a single vector by ID in a Pinecone index.

• 5 parameters
• Index
• Namespace
• Vector ID
• Values
• Set Metadata

Delete Vectors

Delete vectors from a Pinecone index by ID, by metadata filter, or delete all vectors in a namespace.

• 5 parameters
• Index
• Namespace
• Delete Mode
• Vector IDs
• Metadata Filter

Generate Embeddings

Generate vector embeddings for one or more text inputs using a Pinecone-hosted embedding model.

• 4 parameters
• Model
• Text Inputs
• Input Type
• Truncate

Upsert Text (Embed + Upsert)

Generate an embedding for a text input using Pinecone's inference API and upsert it into an index in a single action. Ideal for populating a Pinecone index from a workflow without running your own embedding service.

• 6 parameters
• Index
• Namespace
• Embedding Model
• Vector ID
• Text
• Metadata

Rerank Documents

Reorder a list of documents by relevance to a query using a reranking model.

• 4 parameters
• Model
• Query
• Documents
• Top N

Create Index

Create a new serverless Pinecone index.

• 6 parameters
• Name
• Dimension
• Distance Metric
• Cloud
• Region
• Deletion Protection

Make HTTP Request

Make an HTTP request to any URL with full control over method, headers, and body.