feat: Add Pinecone vector store backend support

package.json

@@ -100,6 +100,7 @@
 		"@azure/openai": "^1.0.0-beta.13",
 		"@google/generative-ai": "^0.24.1",
 		"@modelcontextprotocol/sdk": "^1.15.1",
+		"@pinecone-database/pinecone": "^6.1.2",
 		"@qdrant/js-client-rest": "^1.14.1",
 		"@zilliz/milvus2-sdk-node": "^2.5.12",
 		"axios": "^1.10.0",

src/core/env.ts

@@ -57,7 +57,9 @@ const envSchema = z.object({
 	STORAGE_DATABASE_PASSWORD: z.string().optional(),
 	STORAGE_DATABASE_SSL: z.boolean().default(false),
 	// Vector Storage Configuration
-	VECTOR_STORE_TYPE: z.enum(['qdrant', 'milvus', 'in-memory']).default('in-memory'),
+	VECTOR_STORE_TYPE: z
+		.enum(['qdrant', 'milvus', 'chroma', 'pinecone', 'in-memory'])
+		.default('in-memory'),
 	VECTOR_STORE_HOST: z.string().optional(),
 	VECTOR_STORE_PORT: z.number().optional(),
 	VECTOR_STORE_URL: z.string().optional(),
@@ -69,6 +71,8 @@ const envSchema = z.object({
 	VECTOR_STORE_DISTANCE: z.enum(['Cosine', 'Euclidean', 'Dot', 'Manhattan']).default('Cosine'),
 	VECTOR_STORE_ON_DISK: z.boolean().default(false),
 	VECTOR_STORE_MAX_VECTORS: z.number().default(10000),
+	// Pinecone-specific Configuration
+	PINECONE_NAMESPACE: z.string().default('default'),
 	// Knowledge Graph Configuration
 	KNOWLEDGE_GRAPH_ENABLED: z.boolean().default(false),
 	KNOWLEDGE_GRAPH_TYPE: z.enum(['neo4j', 'in-memory']).default('in-memory'),
@@ -100,7 +104,9 @@ const envSchema = z.object({
 	USE_WORKSPACE_MEMORY: z.boolean().default(false),
 	WORKSPACE_SEARCH_THRESHOLD: z.number().default(0.4),
 	DISABLE_DEFAULT_MEMORY: z.boolean().default(false),
-	WORKSPACE_VECTOR_STORE_TYPE: z.enum(['qdrant', 'milvus', 'in-memory']).optional(),
+	WORKSPACE_VECTOR_STORE_TYPE: z
+		.enum(['qdrant', 'milvus', 'chroma', 'pinecone', 'in-memory'])
+		.optional(),
 	WORKSPACE_VECTOR_STORE_HOST: z.string().optional(),
 	WORKSPACE_VECTOR_STORE_PORT: z.number().optional(),
 	WORKSPACE_VECTOR_STORE_URL: z.string().optional(),

src/core/utils/service-initializer.ts

@@ -621,6 +621,7 @@ export async function createAgentServices(
 		logger.warn('Failed to initialize vector storage manager', {
 			error: error instanceof Error ? error.message : String(error),
 		});
+		logger.warn(error instanceof Error ? error.message : String(error));
 		// Fallback to regular manager in case of error
 		const { manager } = await createVectorStoreFromEnv(config);
 		vectorStoreManager = manager;

src/core/vector_storage/__test__/factory.test.ts

@@ -251,7 +251,6 @@ describe('Vector Storage Factory', () => {
 			process.env.VECTOR_STORE_URL = 'http://test-qdrant:6333';
 			process.env.VECTOR_STORE_COLLECTION = 'url_collection';
 			process.env.VECTOR_STORE_DIMENSION = '384';
-
 			const result = await createVectorStoreFromEnv();
 
 			// Will fallback to in-memory due to connection failure