Skip to main content

Records API plugin for Pinecone python SDK

Installation

The plugin is distributed separately from the core python SDK.

# Install the base python SDK, version 5.4.0 or higher
pip install pinecone

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

Usage

This plugin extends the functionality of the pinecone SDK to allow creating indexes for specific embedding models, and upserting and searching records in these indexes. These operations are added to the existing Pinecone and Index classes.

Models currently supported:

Create an index for an embedding model, upsert records, and search

The following example highlights how to use the Pinecone class to create a new index for an embedding model, and then uses Index to upsert and search some records.

from pinecone import Pinecone

pc = Pinecone(api_key="<<PINECONE_API_KEY>>")

# Create an index for your embedding model
index_model = pc.create_index_for_model(
    name="my-model-index",
    cloud="aws",
    region="us-east-1",
    embed={
        "model":"multilingual-e5-large",
        "field_map": {"text": "my_text_field"}
    }
)

# establish an index connection
index = pc.Index(host=index_model.host)

# upsert records
index.upsert_records(
    "my-namespace",
    [
        {
            "_id": "test1",
            "my_text_field": "Apple is a popular fruit known for its sweetness and crisp texture.",
        },
        {
            "_id": "test2",
            "my_text_field": "The tech company Apple is known for its innovative products like the iPhone.",
        },
        {
            "_id": "test3",
            "my_text_field": "Many people enjoy eating apples as a healthy snack.",
        },
        {
            "_id": "test4",
            "my_text_field": "Apple Inc. has revolutionized the tech industry with its sleek designs and user-friendly interfaces.",
        },
        {
            "_id": "test5",
            "my_text_field": "An apple a day keeps the doctor away, as the saying goes.",
        },
        {
            "_id": "test6",
            "my_text_field": "Apple Computer Company was founded on April 1, 1976, by Steve Jobs, Steve Wozniak, and Ronald Wayne as a partnership.",
        },
    ],
)

# search for similar records
response = index.search_records(
    namespace="test-namespace",
    query={
        "inputs":{
            "text": "Apple corporation",
        },
        "top_k":3,
    },
    rerank={
        "model": "bge-reranker-v2-m3",
        "rank_fields": ["my_text_field"],
        "top_n": 3,
    },
)

Metadata

Release files for pinecone-plugin-records 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pinecone-plugin-records 1.1.0
File Size Uploaded
pinecone_plugin_records-1.1.0.tar.gz 108.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pinecone-plugin-records 1.1.0
File Interpreter ABI Platform
pinecone_plugin_records-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 376.3 kB

Release files / pinecone_plugin_records-1.1.0.tar.gz

Download URL pinecone_plugin_records-1.1.0.tar.gz
Size 108.9 kB
Tags Source
SHA-256 checksum
How to use checksums
48452cd2eac54679b1c4571a0b2555f11607ade49f6a5fd6b4b9ed19215b999b
BLAKE2b-256 checksum
How to use checksums
1b6abec42a441974127a2d83400af4071657c20da681a221af7c9aebf032323f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.5 CPython/3.12.8 Linux/6.8.0-1017-azure

Release files / pinecone_plugin_records-1.1.0-py3-none-any.whl

Download URL pinecone_plugin_records-1.1.0-py3-none-any.whl
Size 267.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2107aea4767454c98ef32e42ec5e573a14522c3842c27f95e5bffb860df40230
BLAKE2b-256 checksum
How to use checksums
f366c39d955d6a089deb9380f5f9a7e15a6a1f7c7e68b0600c310e05c0556257
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.5 CPython/3.12.8 Linux/6.8.0-1017-azure
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page