pinecone-plugin-inference 0.2.1

Embeddings plugin for Pinecone SDK

Inference API plugin for python SDK

Installation

The plugin is distributed separately from the core python sdk.

# Install the base python SDK
pip install pinecone-client

# And also the plugin functionality
pip install pinecone-plugin-inference

Usage

Interact with Pinecone's Inference APIs, e.g. create embeddings (currently in preview).

Models currently supported:

• multilingual-e5-large

Generate embeddings

The following example highlights how to use an embedding model to generate embeddings for a list of documents and a user query, with the ultimate goal of retrieving similar documents from a Pinecone index.

from pinecone import Pinecone

pc = Pinecone(api_key="<<PINECONE_API_KEY>>")
model = "multilingual-e5-large"

# Embed documents
text = [
    "Turkey is a classic meat to eat at American Thanksgiving.",
    "Many people enjoy the beautiful mosques in Turkey.",
]
text_embeddings = pc.inference.embed(
    model=model,
    inputs=text,
    parameters={"input_type": "passage", "truncate": "END"},
)

# <<Upsert documents into Pinecone index>>

# Embed query
query = ["How should I prepare my turkey?"]
query_embeddings = pc.inference.embed(
    model=model,
    inputs=query,
    parameters={"input_type": "query", "truncate": "END"},
)

# <<Send query to Pinecone index to retrieve similar documents>>