在macOS应用中集成Infinity向量服务的Objective-C实现
Infinity向量服务核心优势
Infinity作为高性能向量嵌入服务，提供三大核心能力：
- 高吞吐量：批量处理机制支持数千并发请求
- 低延迟：针对macOS优化的推理引擎实现毫秒级响应
- 多模型兼容：支持主流sentence-transformer框架
环境配置流程
部署Infinity服务环境：
git clone https://gitcode.com/gh_mirrors/infi/infinity
curl http://localhost:7997/healthObjective-C集成实现
HTTP请求封装类
// VectorServiceClient.h
#import <Foundation/Foundation.h>
@interface VectorServiceClient : NSObject
- (void)fetchVectorForString:(NSString *)inputString
completion:(void(^)(NSArray *vectorArray, NSError *error))handler;
@end向量请求执行方法
// VectorServiceClient.m
#import "VectorServiceClient.h"
@implementation VectorServiceClient
- (void)fetchVectorForString:(NSString *)inputString
completion:(void(^)(NSArray *vectorArray, NSError *error))handler {
NSURL *endpoint = [NSURL URLWithString:@"http://localhost:7997/v1/embeddings"];
NSMutableURLRequest *serviceRequest = [NSMutableURLRequest requestWithURL:endpoint];
serviceRequest.HTTPMethod = @"POST";
[serviceRequest setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
NSDictionary *payload = @{@"input": inputString, @"model": @"all-MiniLM-L6-v2"};
serviceRequest.HTTPBody = [NSJSONSerialization dataWithJSONObject:payload options:0 error:nil];
[[NSURLSession sharedSession] dataTaskWithRequest:serviceRequest
completionHandler:^(NSData *responseData, NSURLResponse *urlResponse, NSError *taskError) {
if (responseData) {
NSDictionary *jsonResult = [NSJSONSerialization JSONObjectWithData:responseData options:0 error:nil];
NSArray *resultVector = jsonResult[@"data"][0][@"embedding"];
handler(resultVector, nil);
} else {
handler(nil, taskError);
}
}].resume;
}
@end应用层调用示例
// MainViewController.m
#import "MainViewController.h"
#import "VectorServiceClient.h"
@implementation MainViewController
- (void)viewDidAppear {
VectorServiceClient *vectorClient = [[VectorServiceClient alloc] init];
[vectorClient fetchVectorForString:@"示例文本" completion:^(NSArray *vectorData, NSError *serviceError) {
if (vectorData) {
NSLog(@"向量维度: %lu", (unsigned long)vectorData.count);
// 后续向量处理逻辑
}
}];
}
@end图像向量处理方案
- (void)extractImageVector:(UIImage *)sourceImage
completion:(void(^)(NSArray *imgVector, NSError *error))callback {
NSData *jpegData = UIImageJPEGRepresentation(sourceImage, 0.85);
NSString *encodedImage = [jpegData base64EncodedStringWithOptions:0];
NSDictionary *imagePayload = @{
@"input": @{@"image": encodedImage, @"modality": @"image"},
@"model": @"clip-ViT-B-32"
};
// 发送图像向量请求（实现逻辑同文本请求）
}
性能优化策略
- 批量处理：合并多个请求减少网络开销
- 本地缓存：避免重复计算相同内容
- 异步调度：使用GCD管理后台线程操作
- 连接复用：配置NSURLSession连接池提升并发能力
常见问题处理
图像处理优化：建议将图像尺寸调整为640x480并压缩质量
响应延迟优化：检查服务端资源配置，调整批处理参数
