[Backport 2.x] feature: Add AbstractRetriverTool, VectorDBTool, NeuralSparseTools

build.gradle

@@ -76,7 +76,7 @@ configurations {
     zipArchive
     all {
         resolutionStrategy {
-            force "org.mockito:mockito-core:5.8.0"
+            force "org.mockito:mockito-core:${versions.mockito}"
             force "com.google.guava:guava:32.1.3-jre" // CVE for 31.1
             force("org.eclipse.platform:org.eclipse.core.runtime:3.30.0") // CVE for < 3.29.0, forces JDK17 for spotless
         }
@@ -107,8 +107,8 @@ dependencies {
     compileOnly group: 'com.google.code.gson', name: 'gson', version: '2.10.1'
     compileOnly "org.apache.logging.log4j:log4j-slf4j-impl:2.22.0"
     compileOnly group: 'org.json', name: 'json', version: '20231013'
-    implementation("com.google.guava:guava:32.1.3-jre")
-    implementation group: 'org.apache.commons', name: 'commons-lang3', version: '3.13.0'
+    compileOnly("com.google.guava:guava:32.1.3-jre")
+    compileOnly group: 'org.apache.commons', name: 'commons-lang3', version: '3.10'
 
     // Plugin dependencies
     compileOnly group: 'org.opensearch', name:'opensearch-ml-client', version: "${version}"
@@ -128,8 +128,8 @@ dependencies {
     testImplementation group: 'junit', name: 'junit', version: '4.13.2'
     testImplementation group: 'org.mockito', name: 'mockito-core', version: '5.8.0'
     testImplementation group: 'org.mockito', name: 'mockito-inline', version: '5.2.0'
-    testImplementation("net.bytebuddy:byte-buddy:1.14.7")   
-    testImplementation("net.bytebuddy:byte-buddy-agent:1.14.7") 
+    testImplementation("net.bytebuddy:byte-buddy:1.14.7")
+    testImplementation("net.bytebuddy:byte-buddy-agent:1.14.7")
     testImplementation 'org.junit.jupiter:junit-jupiter-api:5.10.1'
     testImplementation 'org.mockito:mockito-junit-jupiter:5.8.0'
     testImplementation "com.nhaarman.mockitokotlin2:mockito-kotlin:2.2.0"

src/main/java/org/opensearch/agent/ToolPlugin.java

@@ -10,7 +10,9 @@
 import java.util.List;
 import java.util.function.Supplier;
 
+import org.opensearch.agent.tools.NeuralSparseSearchTool;
 import org.opensearch.agent.tools.PPLTool;
+import org.opensearch.agent.tools.VectorDBTool;
 import org.opensearch.client.Client;
 import org.opensearch.cluster.metadata.IndexNameExpressionResolver;
 import org.opensearch.cluster.service.ClusterService;
@@ -54,11 +56,13 @@ public Collection<Object> createComponents(
         this.xContentRegistry = xContentRegistry;
 
         PPLTool.Factory.getInstance().init(client);
+        NeuralSparseSearchTool.Factory.getInstance().init(client, xContentRegistry);
+        VectorDBTool.Factory.getInstance().init(client, xContentRegistry);
         return Collections.emptyList();
     }
 
     @Override
     public List<Tool.Factory<? extends Tool>> getToolFactories() {
-        return List.of(PPLTool.Factory.getInstance());
+        return List.of(PPLTool.Factory.getInstance(), NeuralSparseSearchTool.Factory.getInstance(), VectorDBTool.Factory.getInstance());
     }
 }

src/main/java/org/opensearch/agent/tools/AbstractRetrieverTool.java

@@ -0,0 +1,140 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.agent.tools;
+
+import static org.opensearch.ml.common.utils.StringUtils.gson;
+
+import java.io.IOException;
+import java.util.HashMap;
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.opensearch.action.search.SearchRequest;
+import org.opensearch.action.search.SearchResponse;
+import org.opensearch.client.Client;
+import org.opensearch.common.xcontent.LoggingDeprecationHandler;
+import org.opensearch.common.xcontent.XContentType;
+import org.opensearch.core.action.ActionListener;
+import org.opensearch.core.xcontent.NamedXContentRegistry;
+import org.opensearch.core.xcontent.XContentParser;
+import org.opensearch.ml.common.spi.tools.Tool;
+import org.opensearch.search.SearchHit;
+import org.opensearch.search.builder.SearchSourceBuilder;
+
+import lombok.Getter;
+import lombok.Setter;
+import lombok.extern.log4j.Log4j2;
+
+/**
+ * Abstract tool supports search paradigms in neural-search plugin.
+ */
+@Log4j2
+@Getter
+@Setter
+public abstract class AbstractRetrieverTool implements Tool {
+    public static final String DEFAULT_DESCRIPTION = "Use this tool to search data in OpenSearch index.";
+    public static final String INPUT_FIELD = "input";
+    public static final String INDEX_FIELD = "index";
+    public static final String SOURCE_FIELD = "source_field";
+    public static final String DOC_SIZE_FIELD = "doc_size";
+    public static final int DEFAULT_DOC_SIZE = 2;
+
+    protected String description = DEFAULT_DESCRIPTION;
+    protected Client client;
+    protected NamedXContentRegistry xContentRegistry;
+    protected String index;
+    protected String[] sourceFields;
+    protected Integer docSize;
+    protected String version;
+
+    protected AbstractRetrieverTool(
+        Client client,
+        NamedXContentRegistry xContentRegistry,
+        String index,
+        String[] sourceFields,
+        Integer docSize
+    ) {
+        this.client = client;
+        this.xContentRegistry = xContentRegistry;
+        this.index = index;
+        this.sourceFields = sourceFields;
+        this.docSize = docSize == null ? DEFAULT_DOC_SIZE : docSize;
+    }
+
+    protected abstract String getQueryBody(String queryText);
+
+    private <T> SearchRequest buildSearchRequest(Map<String, String> parameters) throws IOException {
+        String question = parameters.get(INPUT_FIELD);
+        if (StringUtils.isBlank(question)) {
+            throw new IllegalArgumentException("[" + INPUT_FIELD + "] is null or empty, can not process it.");
+        }
+
+        String query = getQueryBody(question);
+        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
+        XContentParser queryParser = XContentType.JSON.xContent().createParser(xContentRegistry, LoggingDeprecationHandler.INSTANCE, query);
+        searchSourceBuilder.parseXContent(queryParser);
+        searchSourceBuilder.fetchSource(sourceFields, null);
+        searchSourceBuilder.size(docSize);
+        SearchRequest searchRequest = new SearchRequest().source(searchSourceBuilder).indices(index);
+        return searchRequest;
+    }
+
+    @Override
+    public <T> void run(Map<String, String> parameters, ActionListener<T> listener) {
+        SearchRequest searchRequest;
+        try {
+            searchRequest = buildSearchRequest(parameters);
+        } catch (Exception e) {
+            log.error("Failed to build search request.", e);
+            listener.onFailure(e);
+            return;
+        }
+
+        ActionListener actionListener = ActionListener.<SearchResponse>wrap(r -> {
+            SearchHit[] hits = r.getHits().getHits();
+
+            if (hits != null && hits.length > 0) {
+                StringBuilder contextBuilder = new StringBuilder();
+                for (int i = 0; i < hits.length; i++) {
+                    SearchHit hit = hits[i];
+                    Map<String, Object> docContent = new HashMap<>();
+                    docContent.put("_index", hit.getIndex());
+                    docContent.put("_id", hit.getId());
+                    docContent.put("_score", hit.getScore());
+                    docContent.put("_source", hit.getSourceAsMap());
+                    contextBuilder.append(gson.toJson(docContent)).append("\n");
+                }
+                listener.onResponse((T) contextBuilder.toString());
+            } else {
+                listener.onResponse((T) "Can not get any match from search result.");
+            }
+        }, e -> {
+            log.error("Failed to search index.", e);
+            listener.onFailure(e);
+        });
+        client.search(searchRequest, actionListener);
+    }
+
+    @Override
+    public boolean validate(Map<String, String> parameters) {
+        return parameters != null && parameters.size() > 0 && !StringUtils.isBlank(parameters.get("input"));
+    }
+
+    protected static abstract class Factory<T extends Tool> implements Tool.Factory<T> {
+        protected Client client;
+        protected NamedXContentRegistry xContentRegistry;
+
+        public void init(Client client, NamedXContentRegistry xContentRegistry) {
+            this.client = client;
+            this.xContentRegistry = xContentRegistry;
+        }
+
+        @Override
+        public String getDefaultDescription() {
+            return DEFAULT_DESCRIPTION;
+        }
+    }
+}

src/main/java/org/opensearch/agent/tools/NeuralSparseSearchTool.java

@@ -0,0 +1,110 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.agent.tools;
+
+import static org.opensearch.ml.common.utils.StringUtils.gson;
+
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.opensearch.client.Client;
+import org.opensearch.core.xcontent.NamedXContentRegistry;
+import org.opensearch.ml.common.spi.tools.ToolAnnotation;
+
+import lombok.Builder;
+import lombok.Getter;
+import lombok.Setter;
+import lombok.extern.log4j.Log4j2;
+
+/**
+ * This tool supports neural_sparse search with sparse encoding models and rank_features field.
+ */
+@Log4j2
+@Getter
+@Setter
+@ToolAnnotation(NeuralSparseSearchTool.TYPE)
+public class NeuralSparseSearchTool extends AbstractRetrieverTool {
+    public static final String TYPE = "NeuralSparseSearchTool";
+    public static final String MODEL_ID_FIELD = "model_id";
+    public static final String EMBEDDING_FIELD = "embedding_field";
+
+    private String name = TYPE;
+    private String modelId;
+    private String embeddingField;
+
+    @Builder
+    public NeuralSparseSearchTool(
+        Client client,
+        NamedXContentRegistry xContentRegistry,
+        String index,
+        String embeddingField,
+        String[] sourceFields,
+        Integer docSize,
+        String modelId
+    ) {
+        super(client, xContentRegistry, index, sourceFields, docSize);
+        this.modelId = modelId;
+        this.embeddingField = embeddingField;
+    }
+
+    @Override
+    protected String getQueryBody(String queryText) {
+        if (StringUtils.isBlank(embeddingField) || StringUtils.isBlank(modelId)) {
+            throw new IllegalArgumentException(
+                "Parameter [" + EMBEDDING_FIELD + "] and [" + MODEL_ID_FIELD + "] can not be null or empty."
+            );
+        }
+        return "{\"query\":{\"neural_sparse\":{\""
+            + embeddingField
+            + "\":{\"query_text\":\""
+            + queryText
+            + "\",\"model_id\":\""
+            + modelId
+            + "\"}}}"
+            + " }";
+    }
+
+    @Override
+    public String getType() {
+        return TYPE;
+    }
+
+    public static class Factory extends AbstractRetrieverTool.Factory<NeuralSparseSearchTool> {
+        private static Factory INSTANCE;
+
+        public static Factory getInstance() {
+            if (INSTANCE != null) {
+                return INSTANCE;
+            }
+            synchronized (NeuralSparseSearchTool.class) {
+                if (INSTANCE != null) {
+                    return INSTANCE;
+                }
+                INSTANCE = new Factory();
+                return INSTANCE;
+            }
+        }
+
+        @Override
+        public NeuralSparseSearchTool create(Map<String, Object> params) {
+            String index = (String) params.get(INDEX_FIELD);
+            String embeddingField = (String) params.get(EMBEDDING_FIELD);
+            String[] sourceFields = gson.fromJson((String) params.get(SOURCE_FIELD), String[].class);
+            String modelId = (String) params.get(MODEL_ID_FIELD);
+            Integer docSize = params.containsKey(DOC_SIZE_FIELD) ? Integer.parseInt((String) params.get(DOC_SIZE_FIELD)) : DEFAULT_DOC_SIZE;
+            return NeuralSparseSearchTool
+                .builder()
+                .client(client)
+                .xContentRegistry(xContentRegistry)
+                .index(index)
+                .embeddingField(embeddingField)
+                .sourceFields(sourceFields)
+                .modelId(modelId)
+                .docSize(docSize)
+                .build();
+        }
+    }
+}