From 0072851c1625b363945cfda9ebc1629a9d4d01ec Mon Sep 17 00:00:00 2001
From: 0007 <0007@qq.com>
Date: Wed, 27 Aug 2025 19:57:15 +0800
Subject: [PATCH] Add File

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+# Store
+
+Agents-Flex's Store refers to the ` VectorStore `, which defines the following methods for manipulating vector data:
+
+- `store(List<T> documents, StoreOptions options)`: Used to store vector data.
+- `delete(Collection<String> ids, StoreOptions options)`: Used to delete vector data.
+- `update(List<T> documents, StoreOptions options)`: Used to update vector data.
+- `search(SearchWrapper wrapper, StoreOptions options)`: Used to search (retrieve) vector data.
+
+Currently, the following vector databases have been adapted in Agents-Flex:
+
+
+- Milvus Vector Database: https://milvus.io
+- Alibaba Cloud Vector Retrieval Service: https://help.aliyun.com/document_detail/2510317.html
+- Tencent Cloud Vector Database: https://cloud.tencent.com/document/product/1709/98666
+
+Additionally, adaptation for more vector databases is currently in progress:
+
+- **agents-flex-store-chroma**: Chroma vector database
+- **agents-flex-store-elasticsearch**: Elasticsearch vector storage
+- **agents-flex-store-opensearch**: OpenSearch vector storage
+- **agents-flex-store-redis**: Redis vector data storage
+
+## Example Code
+
+```java
+AliyunVectorStoreConfig storeConfig = new AliyunVectorStoreConfig();
+
+//Configuring Alibaba Cloud Vector Retrieval Service settings
+storeConfig.setApiKey("...");
+storeConfig.setEndpoint("...");
+storeConfig.setDatabase("...");
+
+DocumentStore store = new AliyunVectorStore(storeConfig);
+
+//Create an embedding model，
+EmbeddingModel llm = new OpenAILlm.of("sk-rts5NF6n*******");
+
+//Configuring the embedding model for the store
+store.setEmbeddingModel(llm);
+```
+
+With the above setup completed, we can happily use the store to perform  `CRUD ` operations on vector data.
+
+**Add new Document:**
+
+```java
+Document document = new Document();
+document.setId(100);
+document.setContent("Text data of the document...");
+
+store.store(document);
+```
+
+**Update Document：**
+
+```java
+Document document = new Document();
+document.setId(100);
+document.setContent("New document data...");
+
+store.update(document);
+```
+
+**Delete Document:**
+
+```java
+store.delete(100);
+```
+
+**Data retrieval**
+
+```java
+SearchWrapper wrapper = new SearchWrapper();
+wrapper.setText("Keywords or prompts");
+
+List<Document> result = store.search(wrapper);
+```
+
+## SearchWrapper
+
+
+Currently, there is no SQL-like language in the field of vector databases to unify database queries. Each vector database provider offers different APIs or unique query languages.
+
+To eliminate the differences in querying among various vector databases, Agents-Flex has developed the `SearchWrapper` for unified adaptation.
+
+The `SearchWrapper` supports generating Filter Expressions (similar to the "where" clause in SQL) for further filtering of vector databases.
+
+```java
+@Test
+public void testSearchWrapper() {
+    SearchWrapper rw = new SearchWrapper();
+    rw.eq("akey", "avalue").eq(Connector.OR, "bkey", "bvalue").group(rw1 -> {
+        rw1.eq("ckey", "avalue").in(Connector.AND_NOT, "dkey", "bvalue");
+    }).eq("a", "b");
+
+    String expr = "akey = \"avalue\" " +
+        "OR bkey = \"bvalue\" " +
+        "AND (ckey = \"avalue\" AND NOT dkey IN \"bvalue\") " +
+        "AND a = \"b\"";
+
+    Assert.assertEquals(expr, rw.toFilterExpression());
+}
+```
+
+Filter expressions can be referred to as follows:
+
+- Milvus Vector Database：https://milvus.io/docs/boolean.md
+- Tencent Cloud Vector Database：https://cloud.tencent.com/document/product/1709/95099
+- Alibaba Cloud Vector Retrieval Service：https://help.aliyun.com/document_detail/2513006.html
+
+