## Problem

Add integrated inference to Java SDK.

## Solution

The code was already generated since integrated inference was a part of
2025-01 api spec. So as a part of this PR, I have added the following
features:
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

Example:
```java
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<>();
    record1.put("_id", "rec1");
    record1.put("category", "digestive system");
    record1.put("chunk_text", "Apples are a great source of dietary fiber, which supports digestion and helps maintain a healthy gut.");

    HashMap<String, String> record2 = new HashMap<>();
    record2.put("_id", "rec2");
    record2.put("category", "cultivation");
    record2.put("chunk_text", "Apples originated in Central Asia and have been cultivated for thousands of years, with over 7,500 varieties available today.");

    HashMap<String, String> record3 = new HashMap<>();
    record3.put("_id", "rec3");
    record3.put("category", "immune system");
    record3.put("chunk_text", "Rich in vitamin C and other antioxidants, apples contribute to immune health and may reduce the risk of chronic diseases.");

    HashMap<String, String> record4 = new HashMap<>();
    record4.put("_id", "rec4");
    record4.put("category", "endocrine system");
    record4.put("chunk_text", "The high fiber content in apples can also help regulate blood sugar levels, making them a favorable snack for people with diabetes.");

    upsertRecords.add(record1);
    upsertRecords.add(record2);
    upsertRecords.add(record3);
    upsertRecords.add(record4);

    index.upsertRecords("example-namespace", upsertRecords);

    // Wait for vectors to be upserted
    Thread.sleep(5000);

    String namespace = "example-namespace";
    List<String> fields = new ArrayList<>();
    fields.add("category");
    fields.add("chunk_text");

    SearchRecordsRequestRerank rerank = new SearchRecordsRequestRerank()
        .model("bge-reranker-v2-m3")
        .topN(2)
        .rankFields(Arrays.asList("chunk_text"));
    
    // Search records
    SearchRecordsResponse recordsResponse = index.searchRecordsByText("Disease prevention", namespace, fields, 4, null, rerank);
    System.out.println(recordsResponse);
```

## Type of Change

- [ ] Bug fix (non-breaking change which fixes an issue)
- [X] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] This change requires a documentation update
- [ ] Infrastructure change (CI configs, etc)
- [ ] Non-code change (docs, etc)
- [ ] None of the above: (explain here)

## Test Plan

Added integration test that creates an index associated with a model,
upserts and queries records.

…tore, and namespaces. (#183)

## Problem

1. Generate code for 2025-04 and automate ndjson handling.
2. Add support for backups and restore.
3. Add support for namespaces

## Solution

1. Generated code using the 2025-04 open api spec and added sed command
to automate the process of handling ndjson which is currently not
handled by the open api genearted code in ApiClient.java of data.yaml
module.
2. Added support for backups and restore
3. Added support for namespaces

## Type of Change

- [ ] Bug fix (non-breaking change which fixes an issue)
- [X] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] This change requires a documentation update
- [ ] Infrastructure change (CI configs, etc)
- [ ] Non-code change (docs, etc)
- [ ] None of the above: (explain here)

## Test Plan

Integration tests were added for new features.