Pinecone

Use Pinecone vector database

Usage Instructions

Integrate Pinecone into the workflow. Can generate embeddings, upsert text, search with text, fetch vectors, and search with vectors.

Generate embeddings from text using Pinecone's hosted models

Parameter	Type	Required	Description
`model`	string	Yes	Model to use for generating embeddings
`inputs`	array	Yes	Array of text inputs to generate embeddings for
`apiKey`	string	Yes	Pinecone API key

Parameter	Type	Description
`data`	array	Generated embeddings data with values and vector type
`model`	string	Model used for generating embeddings
`vector_type`	string	Type of vector generated (dense/sparse)
`usage`	object	Usage statistics for embeddings generation

Insert or update text records in a Pinecone index

Parameter	Type	Required	Description
`indexHost`	string	Yes	Full Pinecone index host URL
`namespace`	string	Yes	Namespace to upsert records into
`records`	array	Yes	Record or array of records to upsert, each containing _id, text, and optional metadata
`apiKey`	string	Yes	Pinecone API key

Parameter	Type	Description
`statusText`	string	Status of the upsert operation
`upsertedCount`	number	Number of records successfully upserted

Search for similar text in a Pinecone index

Parameter	Type	Required	Description
`indexHost`	string	Yes	Full Pinecone index host URL
`namespace`	string	No	Namespace to search in
`searchQuery`	string	Yes	Text to search for
`topK`	string	No	Number of results to return
`fields`	array	No	Fields to return in the results
`filter`	object	No	Filter to apply to the search
`rerank`	object	No	Reranking parameters
`apiKey`	string	Yes	Pinecone API key

Parameter	Type	Description
`matches`	array	Search results with ID, score, and metadata
`usage`	object	Usage statistics including tokens, read units, and rerank units

Search for similar vectors in a Pinecone index

Parameter	Type	Required	Description
`indexHost`	string	Yes	Full Pinecone index host URL
`namespace`	string	No	Namespace to search in
`vector`	array	Yes	Vector to search for
`topK`	number	No	Number of results to return
`filter`	object	No	Filter to apply to the search
`includeValues`	boolean	No	Include vector values in response
`includeMetadata`	boolean	No	Include metadata in response
`apiKey`	string	Yes	Pinecone API key

Parameter	Type	Description
`matches`	array	Vector search results with ID, score, values, and metadata
`namespace`	string	Namespace where the search was performed

Fetch vectors by ID from a Pinecone index

Parameter	Type	Required	Description
`indexHost`	string	Yes	Full Pinecone index host URL
`ids`	array	Yes	Array of vector IDs to fetch
`namespace`	string	No	Namespace to fetch vectors from
`apiKey`	string	Yes	Pinecone API key

Parameter	Type	Description
`matches`	array	Fetched vectors with ID, values, metadata, and score
`data`	array	Vector data with values and vector type
`usage`	object	Usage statistics including total read units