WeKnora保姆级教程WeKnora API接入Python/Node.js/Java客户端示例1. 项目简介WeKnora是一个基于Ollama本地大模型框架的知识库问答系统。它的核心功能很实用你可以提供任意一段文本作为即时知识库然后针对这段文本提问AI会严格依据你提供的内容进行精准回答。这个系统的亮点很突出零幻觉问答通过专业的提示词工程AI被设定为只能根据提供的背景知识回答。如果答案不在文本中AI会明确告知彻底杜绝了传统大模型的胡说八道即时知识库你可以随时粘贴任何文本内容比如产品手册、会议纪要、法律条文等AI瞬间就能成为该领域的临时专家灵活应用不需要预先训练模型随时提供新知识随时提问2. 环境准备与API基础2.1 获取API访问信息在使用WeKnora API之前你需要先获取以下信息API端点地址通常是Web界面的公网地址比如http://your-weknora-instance.com/api端口号默认可能是8080或其他端口认证信息如果需要认证获取相应的API密钥或token2.2 理解API请求结构WeKnora API的核心请求包含两个主要部分背景知识background_knowledge你要让AI学习的文本内容问题question针对背景知识提出的具体问题API的响应会包含AI基于你提供知识给出的答案。3. Python客户端接入示例3.1 安装必要的库首先安装requests库这是Python中最常用的HTTP客户端库pip install requests3.2 基础API调用代码import requests import json class WeKnoraClient: def __init__(self, base_url, api_keyNone): self.base_url base_url self.headers { Content-Type: application/json, Accept: application/json } if api_key: self.headers[Authorization] fBearer {api_key} def ask_question(self, background_knowledge, question): 向WeKnora提问 payload { background_knowledge: background_knowledge, question: question } try: response requests.post( f{self.base_url}/ask, headersself.headers, jsonpayload, timeout30 ) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: print(f请求失败: {e}) return None # 使用示例 if __name__ __main__: # 初始化客户端 client WeKnoraClient(http://localhost:8080/api) # 准备背景知识 knowledge iPhone 15 Pro采用航空级钛金属设计配备更强大的相机系统。 电池容量为3274mAh支持20小时视频播放。 搭载A17 Pro芯片性能提升显著。 # 提出问题 question iPhone 15 Pro的电池容量是多少支持多长的视频播放 # 获取答案 result client.ask_question(knowledge, question) if result and answer in result: print(AI的回答:) print(result[answer]) else: print(获取答案失败)3.3 高级功能实现class AdvancedWeKnoraClient(WeKnoraClient): def batch_ask(self, knowledge_question_pairs): 批量提问 results [] for knowledge, question in knowledge_question_pairs: result self.ask_question(knowledge, question) results.append({ question: question, answer: result[answer] if result else None }) return results def ask_with_context(self, knowledge, questions): 基于同一背景知识连续提问 context knowledge answers [] for question in questions: result self.ask_question(context, question) if result: answers.append(result[answer]) # 可以将之前的问答也加入上下文增强连续性 context f\n\nQ: {question}\nA: {result[answer]} return answers # 使用高级功能 advanced_client AdvancedWeKnoraClient(http://localhost:8080/api) # 批量提问示例 pairs [ (iPhone电池容量是3274mAh, 电池容量是多少), (手机支持20小时视频播放, 视频播放时长是多少) ] batch_results advanced_client.batch_ask(pairs) for result in batch_results: print(f问题: {result[question]}) print(f回答: {result[answer]}) print(---)4. Node.js客户端接入示例4.1 创建Node.js项目mkdir weknora-client cd weknora-client npm init -y npm install axios4.2 基础API调用代码const axios require(axios); class WeKnoraClient { constructor(baseURL, apiKey null) { this.client axios.create({ baseURL: baseURL, timeout: 30000, headers: { Content-Type: application/json, Accept: application/json } }); if (apiKey) { this.client.defaults.headers.common[Authorization] Bearer ${apiKey}; } } async askQuestion(backgroundKnowledge, question) { try { const response await this.client.post(/ask, { background_knowledge: backgroundKnowledge, question: question }); return response.data; } catch (error) { console.error(请求失败:, error.message); throw error; } } } // 使用示例 async function main() { const client new WeKnoraClient(http://localhost:8080/api); const knowledge MacBook Pro配备M3芯片性能比前代提升最多20%。 电池续航最长可达22小时支持快速充电。 内存配置有8GB、16GB和24GB选项。 ; const question MacBook Pro的电池续航是多少支持快速充电吗; try { const result await client.askQuestion(knowledge, question); console.log(AI的回答:); console.log(result.answer); } catch (error) { console.error(出错:, error.message); } } // 执行示例 main().catch(console.error);4.3 使用async/await的进阶示例class EnhancedWeKnoraClient extends WeKnoraClient { async askMultipleQuestions(knowledge, questions) { const results []; for (const question of questions) { try { const result await this.askQuestion(knowledge, question); results.push({ question, answer: result.answer, timestamp: new Date().toISOString() }); // 添加延迟避免请求过于频繁 await new Promise(resolve setTimeout(resolve, 100)); } catch (error) { results.push({ question, answer: null, error: error.message }); } } return results; } } // 使用进阶功能 async function demoEnhancedFeatures() { const client new EnhancedWeKnoraClient(http://localhost:8080/api); const knowledge 公司2024年第一季度财报显示 - 营收1200万元同比增长15% - 净利润300万元同比增长20% - 研发投入200万元占营收16.7% ; const questions [ 第一季度营收是多少, 净利润增长率是多少, 研发投入占比是多少 ]; const results await client.askMultipleQuestions(knowledge, questions); console.log(批量问答结果:); results.forEach((result, index) { console.log(${index 1}. 问题: ${result.question}); console.log( 回答: ${result.answer || 获取失败}); }); } demoEnhancedFeatures().catch(console.error);5. Java客户端接入示例5.1 Maven依赖配置在pom.xml中添加依赖dependencies dependency groupIdcom.squareup.okhttp3/groupId artifactIdokhttp/artifactId version4.11.0/version /dependency dependency groupIdcom.google.code.gson/groupId artifactIdgson/artifactId version2.10.1/version /dependency /dependencies5.2 基础Java客户端实现import okhttp3.*; import com.google.gson.Gson; import java.io.IOException; import java.util.HashMap; import java.util.Map; public class WeKnoraJavaClient { private final String baseUrl; private final String apiKey; private final OkHttpClient client; private final Gson gson; public WeKnoraJavaClient(String baseUrl, String apiKey) { this.baseUrl baseUrl; this.apiKey apiKey; this.client new OkHttpClient(); this.gson new Gson(); } public String askQuestion(String backgroundKnowledge, String question) throws IOException { // 构建请求体 MapString, String requestBody new HashMap(); requestBody.put(background_knowledge, backgroundKnowledge); requestBody.put(question, question); String jsonBody gson.toJson(requestBody); RequestBody body RequestBody.create( jsonBody, MediaType.parse(application/json) ); // 构建请求 Request.Builder requestBuilder new Request.Builder() .url(baseUrl /ask) .post(body) .addHeader(Content-Type, application/json) .addHeader(Accept, application/json); if (apiKey ! null !apiKey.isEmpty()) { requestBuilder.addHeader(Authorization, Bearer apiKey); } Request request requestBuilder.build(); // 执行请求 try (Response response client.newCall(request).execute()) { if (!response.isSuccessful()) { throw new IOException(请求失败: response); } String responseBody response.body().string(); MapString, Object result gson.fromJson(responseBody, Map.class); return (String) result.get(answer); } } // 使用示例 public static void main(String[] args) { WeKnoraJavaClient client new WeKnoraJavaClient( http://localhost:8080/api, null ); String knowledge Tesla Model 3 配备磷酸铁锂电池续航里程为513公里。 支持250kW超级充电充电15分钟可增加约250公里续航。 百公里加速时间为3.3秒。 ; String question Model 3的续航里程是多少支持多快的充电; try { String answer client.askQuestion(knowledge, question); System.out.println(AI的回答:); System.out.println(answer); } catch (IOException e) { System.err.println(请求出错: e.getMessage()); } } }5.3 高级Java客户端功能import java.util.ArrayList; import java.util.List; import java.util.concurrent.*; public class AdvancedWeKnoraClient extends WeKnoraJavaClient { private final ExecutorService executorService; public AdvancedWeKnoraClient(String baseUrl, String apiKey) { super(baseUrl, apiKey); this.executorService Executors.newFixedThreadPool(5); } public ListString batchAsk(ListQuestionPair questionPairs) { ListFutureString futures new ArrayList(); ListString results new ArrayList(); for (QuestionPair pair : questionPairs) { CallableString task () - askQuestion(pair.getKnowledge(), pair.getQuestion()); futures.add(executorService.submit(task)); } for (FutureString future : futures) { try { results.add(future.get(30, TimeUnit.SECONDS)); } catch (Exception e) { results.add(请求失败: e.getMessage()); } } return results; } public static class QuestionPair { private final String knowledge; private final String question; public QuestionPair(String knowledge, String question) { this.knowledge knowledge; this.question question; } public String getKnowledge() { return knowledge; } public String getQuestion() { return question; } } // 关闭线程池 public void shutdown() { executorService.shutdown(); } // 使用示例 public static void demoAdvancedFeatures() { AdvancedWeKnoraClient client new AdvancedWeKnoraClient( http://localhost:8080/api, null ); ListQuestionPair pairs new ArrayList(); pairs.add(new QuestionPair( Java 21 引入了虚拟线程大幅简化并发编程。, Java 21 引入了什么新特性来简化并发编程 )); pairs.add(new QuestionPair( Spring Boot 3.2 支持JDK 21性能提升明显。, Spring Boot 3.2 支持哪个JDK版本 )); try { ListString answers client.batchAsk(pairs); for (int i 0; i answers.size(); i) { System.out.println(问题: pairs.get(i).getQuestion()); System.out.println(回答: answers.get(i)); System.out.println(---); } } finally { client.shutdown(); } } }6. 常见问题与解决方案6.1 连接问题处理在不同客户端中处理连接超时和重试Python重试机制from tenacity import retry, stop_after_attempt, wait_exponential class RobustWeKnoraClient(WeKnoraClient): retry(stopstop_after_attempt(3), waitwait_exponential(multiplier1, min4, max10)) def ask_question_with_retry(self, background_knowledge, question): return self.ask_question(background_knowledge, question)Node.js重试机制async function askWithRetry(client, knowledge, question, maxRetries 3) { let lastError; for (let attempt 1; attempt maxRetries; attempt) { try { return await client.askQuestion(knowledge, question); } catch (error) { lastError error; console.log(尝试 ${attempt} 失败等待重试...); await new Promise(resolve setTimeout(resolve, 1000 * attempt)); } } throw lastError; }6.2 性能优化建议连接复用在所有客户端中重用HTTP连接批量处理使用批量接口减少请求次数缓存机制对相同的问题和知识进行缓存超时设置合理设置连接和读取超时6.3 错误处理最佳实践def safe_ask_question(client, knowledge, question): try: result client.ask_question(knowledge, question) if result and answer in result: return result[answer] else: return 无法获取有效答案 except requests.exceptions.Timeout: return 请求超时请重试 except requests.exceptions.ConnectionError: return 连接失败请检查网络 except Exception as e: return f系统错误: {str(e)}7. 总结通过本教程你已经学会了如何在三种主流编程语言中接入WeKnora API。无论你是Python开发者、Node.js爱好者还是Java工程师都能找到适合自己的接入方式。关键要点回顾环境准备安装必要的客户端库获取API端点信息基础调用掌握核心的问答接口调用方法高级功能实现批量处理、重试机制等进阶功能错误处理学会处理各种网络和API错误实践建议先从简单的单个问答开始逐步尝试批量处理在生产环境中添加适当的重试和降级机制根据实际业务需求调整超时时间和并发设置监控API调用性能和成功率WeKnora的强大之处在于它的精准问答能力结合这些客户端实现你可以在各种应用场景中快速集成知识问答功能。获取更多AI镜像想探索更多AI镜像和应用场景访问 CSDN星图镜像广场提供丰富的预置镜像覆盖大模型推理、图像生成、视频生成、模型微调等多个领域支持一键部署。