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)
| File | Size | Uploaded | |
|---|---|---|---|
| pinecone_plugin_records-1.1.0.tar.gz | 108.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
|