diff --git a/search_engine.cpp b/search_engine.cpp
new file mode 100644
index 0000000..6e05296
--- /dev/null
+++ b/search_engine.cpp
@@ -0,0 +1,132 @@
+#include "search_engine.h"
+#include <filesystem>
+#include <fstream>
+
+const char* const DICT_PATH = "dict/jieba.dict.utf8";
+const char* const HMM_PATH = "dict/hmm_model.utf8";
+const char* const USER_DICT_PATH = "dict/user.dict.utf8";
+const char* const IDF_PATH = "dict/idf.utf8";
+const char* const STOP_WORD_PATH = "dict/stop_words.utf8";
+
+SearchEngine::SearchEngine(const std::string& db_path) {
+    // 初始化 Xapian 数据库
+    db_ = std::make_unique<Xapian::WritableDatabase>(
+        db_path, Xapian::DB_CREATE_OR_OPEN
+    );
+    
+    term_gen_ = std::make_unique<Xapian::TermGenerator>();
+    
+    // 初始化结巴分词
+    jieba_ = std::make_unique<cppjieba::Jieba>(
+        DICT_PATH,
+        HMM_PATH,
+        USER_DICT_PATH,
+        IDF_PATH,
+        STOP_WORD_PATH
+    );
+}
+
+SearchEngine::~SearchEngine() = default;
+
+void SearchEngine::addDocument(const std::string& path, const std::string& content) {
+    Xapian::Document doc;
+    term_gen_->set_document(doc);
+    
+    // 设置文档路径
+    doc.add_value(1, path);
+    
+    // 对内容分词并索引
+    std::string tokens = tokenize(content);
+    term_gen_->index_text(tokens);
+    
+    // 存储原始内容用于生成摘要
+    doc.set_data(content);
+    
+    // 添加到数据库
+    db_->add_document(doc);
+}
+
+std::vector<SearchResult> SearchEngine::search(
+    const std::string& query_str,
+    const SearchOptions& options
+) {
+    std::vector<SearchResult> results;
+    
+    Xapian::QueryParser qp;
+    qp.set_database(*db_);
+    
+    // 添加文件类型过滤
+    if (!options.file_type.empty()) {
+        std::string type_query = "type:" + options.file_type;
+        query_str = query_str + " AND " + type_query;
+    }
+    
+    Xapian::Query query = qp.parse_query(
+        tokenize(query_str),
+        Xapian::QueryParser::FLAG_BOOLEAN | 
+        Xapian::QueryParser::FLAG_PHRASE
+    );
+    
+    Xapian::Enquire enquire(*db_);
+    enquire.set_query(query);
+    
+    // 设置排序
+    switch (options.sort_field) {
+        case SortField::PATH:
+            enquire.set_sort_by_value(1, options.sort_order == SortOrder::DESC);
+            break;
+        case SortField::SIZE:
+            enquire.set_sort_by_value(2, options.sort_order == SortOrder::DESC);
+            break;
+        case SortField::MODIFIED_TIME:
+            enquire.set_sort_by_value(3, options.sort_order == SortOrder::DESC);
+            break;
+        default:
+            // 默认按相关度排序
+            break;
+    }
+    
+    // 使用偏移量和限制实现分页
+    Xapian::MSet matches = enquire.get_mset(
+        options.offset,
+        options.limit
+    );
+    
+    // 处理结果
+    Highlighter highlighter;
+    std::vector<std::string> keywords;
+    jieba_->Cut(query_str, keywords);
+    
+    for (auto it = matches.begin(); it != matches.end(); ++it) {
+        const Xapian::Document& doc = it.get_document();
+        std::string content = doc.get_data();
+        
+        SearchResult result;
+        result.path = doc.get_value(1);
+        result.score = it.get_weight();
+        
+        // 生成高亮片段
+        auto spans = highlighter.find_keyword_positions(content, keywords);
+        result.snippet = highlighter.extract_snippet(content, spans);
+        result.positions = spans;
+        
+        results.push_back(std::move(result));
+    }
+    
+    return results;
+}
+
+std::string SearchEngine::tokenize(const std::string& text) {
+    std::vector<std::string> words;
+    jieba_->Cut(text, words, true);
+    
+    std::string result;
+    for (const auto& word : words) {
+        result += word + " ";
+    }
+    return result;
+}
+
+void SearchEngine::commit() {
+    db_->commit();
+} 
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