Bump io.pinecone:pinecone-client from 3.1.0 to 5.0.0 in /modules/pinecone

[dependabot]

Bumps io.pinecone:pinecone-client from 3.1.0 to 5.0.0.

Release notes

Sourced from io.pinecone:pinecone-client's releases.

v5.0.0 Release

This version of the Pinecone Java SDK introduces indexes with integrated inference, backups and restore, and ability to work more explicitly with namespaces. It also supports version 2025-04 of the Pinecone API. You can read more about versioning here.

Features

Indexes with Integrated Inference

This release adds the following method for integrated inference. Together these methods provide a way for you to easily store your data and let us manage the process of creating embeddings. To learn about available models, see the Model Gallery.

1. Create index for model i.e. create an index with an associated embedding model
2. Configure an existing index to associate it with an embedding model
3. Upsert records
4. Search records by id
5. Search records by vector
6. Search records by text

import io.pinecone.clients.Index;
import io.pinecone.clients.Pinecone;
import io.pinecone.helpers.RandomStringBuilder;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;
import org.openapitools.db_control.client.model.CreateIndexForModelRequest;
import org.openapitools.db_control.client.model.CreateIndexForModelRequestEmbed;
import org.openapitools.db_control.client.model.DeletionProtection;
import org.openapitools.db_data.client.ApiException;
import org.openapitools.db_data.client.model.SearchRecordsRequestQuery;
import org.openapitools.db_data.client.model.SearchRecordsResponse;
import org.openapitools.db_data.client.model.UpsertRecord;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
...
Pinecone pinecone = new Pinecone.Builder(System.getenv("PINECONE_API_KEY")).build();
String indexName = RandomStringBuilder.build("inf", 8);
// Create index associated with a model
HashMap<String, String> fieldMap = new HashMap<>();
fieldMap.put("text", "chunk_text");
CreateIndexForModelRequestEmbed embed = new CreateIndexForModelRequestEmbed()
.model("multilingual-e5-large")
.fieldMap(fieldMap);
pinecone.createIndexForModel(indexName, CreateIndexForModelRequest.CloudEnum.AWS, "us-west-2", embed, DeletionProtection.DISABLED, new HashMap<>());
// Wait for index to be created
Thread.sleep(10000);
Index index = pinecone.getIndexConnection(indexName);
// Upsert records
HashMap<String, String> record1 = new HashMap<>();
</tr></table>

... (truncated)

Changelog

Sourced from io.pinecone:pinecone-client's changelog.

5.0.0

• Add support for backups and restore
• Add support for list, describe, and delete namespaces
• Generate code based on 2025-04 api spec
• Automate ndjson handling

4.0.1

• Create a new config per index connection

4.0.0

• Add support for sparse indexes
• Generate code based on 2025-01 open-api spec

Commits

• cb00bc3 Generate code for 2025-04, automate ndjson handling, add backups, restore, an...
• ee5d882 Add integrated inference (#181)
• c83ea24 Prepare to release v4.0.1 (#179)
• b4cc92c Create new config per connection (#178)
• 6ed8d46 Update rerank example in the README after breaking changes (#177)
• 902f148 Prepare to release Java SDK v4.0.0 (#176)
• 59b9f5f Add support to create sparse serverless index method (#175)
• 0f9a483 Replace protoc with buf and add build script for generating code from the pro...
• 154dfd3 remove commented code
• 6afb4dd generate code based on 2025-01 api spec
• Additional commits viewable in compare view

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