feat: adding basic similarity search as tool

README.md

@@ -50,8 +50,9 @@ Currently supported stores:
 Provided Tools
 --------------
 
-* [x] SerpApi
 * [x] Clock
+* [x] SerpApi
+* [x] Similarity Search (Basic)
 * [x] Wikipedia
 * [x] Weather
 * [x] YouTube Transcriber

src/Store/Azure/SearchStore.php

@@ -37,7 +37,7 @@ public function addDocuments(array $documents): void
     /**
      * @return list<Document>
      */
-    public function query(Vector $vector): array
+    public function query(Vector $vector, array $options = []): array
     {
         $result = $this->request('search', [
             'vectorQueries' => [$this->buildVectorQuery($vector)],

src/Store/ChromaDb/Store.php

@@ -45,7 +45,7 @@ public function addDocuments(array $documents): void
         $collection->add($ids, $vectors, $metadata);
     }
 
-    public function query(Vector $vector): array
+    public function query(Vector $vector, array $options = []): array
     {
         $collection = $this->client->getOrCreateCollection($this->collectionName);
         $queryResponse = $collection->query(

src/Store/VectorStoreInterface.php

@@ -10,7 +10,9 @@
 interface VectorStoreInterface extends StoreInterface
 {
     /**
-     * @return list<Document>
+     * @param array<string, mixed> $options
+     *
+     * @return Document[]
      */
-    public function query(Vector $vector): array;
+    public function query(Vector $vector, array $options = []): array;
 }

src/ToolBox/Tool/SimilaritySearch.php

@@ -0,0 +1,45 @@
+<?php
+
+declare(strict_types=1);
+
+namespace PhpLlm\LlmChain\ToolBox\Tool;
+
+use PhpLlm\LlmChain\Document\Document;
+use PhpLlm\LlmChain\EmbeddingModel;
+use PhpLlm\LlmChain\Store\VectorStoreInterface;
+use PhpLlm\LlmChain\ToolBox\AsTool;
+
+#[AsTool('similarity_search', description: 'Searches for documents similar to a query or sentence.')]
+final class SimilaritySearch
+{
+    /**
+     * @var Document[]
+     */
+    public array $usedDocuments = [];
+
+    public function __construct(
+        private readonly EmbeddingModel $embedding,
+        private readonly VectorStoreInterface $vectorStore,
+    ) {
+    }
+
+    /**
+     * @param string $searchTerm string used for similarity search
+     */
+    public function __invoke(string $searchTerm): string
+    {
+        $vector = $this->embedding->create($searchTerm);
+        $this->usedDocuments = $this->vectorStore->query($vector);
+
+        if (0 === count($this->usedDocuments)) {
+            return 'No results found';
+        }
+
+        $result = 'Found documents with following information:'.PHP_EOL;
+        foreach ($this->usedDocuments as $document) {
+            $result .= json_encode($document->metadata);
+        }
+
+        return $result;
+    }
+}