chore: Update dependency reference path (#2745)

Author: chenliang15405

docs/docs/agents/modules/memory/hybrid_memory.md

@@ -51,7 +51,7 @@ You need to prepare a vector store, here we use the `ChromaStore` as an example:
 ```python
 
 import shutil
-from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
 
 # Delete old vector store directory(/tmp/tmp_ltm_vector_stor)
 shutil.rmtree("/tmp/tmp_ltm_vector_store", ignore_errors=True)

docs/docs/agents/modules/memory/long_term_memory.md

@@ -42,7 +42,7 @@ pip install chromadb
 ```python
 
 import shutil
-from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
 
 # Delete old vector store directory(/tmp/tmp_ltm_vector_stor)
 shutil.rmtree("/tmp/tmp_ltm_vector_store", ignore_errors=True)

docs/docs/awel/cookbook/first_rag_with_awel.md

@@ -75,8 +75,9 @@ import shutil
 from dbgpt.core.awel import DAG
 from dbgpt_ext.rag import ChunkParameters
 from dbgpt.rag.knowledge import KnowledgeType
-from dbgpt.rag.operators import EmbeddingAssemblerOperator, KnowledgeOperator
-from dbgpt.storage.vector_store.chroma_store import ChromaStore, ChromaVectorConfig
+from dbgpt_ext.rag.operators import EmbeddingAssemblerOperator
+from dbgpt_ext.rag.operators.knowledge import KnowledgeOperator
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaStore, ChromaVectorConfig
 
 # Delete old vector store directory(/tmp/awel_rag_test_vector_store)
 shutil.rmtree("/tmp/awel_rag_test_vector_store", ignore_errors=True)
@@ -254,10 +255,10 @@ from dbgpt.core.awel import DAG, MapOperator, InputOperator, JoinOperator, Input
 from dbgpt.core.operators import PromptBuilderOperator, RequestBuilderOperator
 from dbgpt_ext.rag import ChunkParameters
 from dbgpt.rag.knowledge import KnowledgeType
-from dbgpt.rag.operators import EmbeddingAssemblerOperator, KnowledgeOperator,
-    EmbeddingRetrieverOperator
+from dbgpt_ext.rag.operators.embedding import EmbeddingAssemblerOperator, EmbeddingRetrieverOperator
+from dbgpt_ext.rag.operators import KnowledgeOperator
 from dbgpt.rag.embedding import DefaultEmbeddingFactory
-from dbgpt.storage.vector_store.chroma_store import ChromaStore, ChromaVectorConfig
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaStore, ChromaVectorConfig
 from dbgpt.model.operators import LLMOperator
 from dbgpt.model.proxy import OpenAILLMClient
 

docs/docs/awel/cookbook/write_your_chat_database.md

@@ -29,7 +29,7 @@ In this guide, we mainly focus on step 1, 2, and 3.
 First, you need to install the `dbgpt` library.
 
 ```bash
-pip install "dbgpt[rag]>=0.5.3rc0" -U
+pip install "dbgpt[rag]>=0.7.0" -U
 ````
 
 ## Build Knowledge Base
@@ -52,7 +52,7 @@ embeddings = DefaultEmbeddingFactory.openai()
 Here we create a simple SQLite database.
 
 ```python
-from dbgpt.datasource.rdbms.conn_sqlite import SQLiteTempConnector
+from dbgpt_ext.datasource.rdbms.conn_sqlite import SQLiteTempConnector
 
 db_conn = SQLiteTempConnector.create_temporary_db()
 db_conn.create_temp_tables(
@@ -83,8 +83,8 @@ import asyncio
 import shutil
 from dbgpt.core.awel import DAG, InputOperator
 from dbgpt_ext.rag import ChunkParameters
-from dbgpt.rag.operators import DBSchemaAssemblerOperator
-from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
+from dbgpt_ext.rag.operators.db_schema import DBSchemaAssemblerOperator
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
 
 # Delete old vector store directory(/tmp/awel_with_data_vector_store)
 shutil.rmtree("/tmp/awel_with_data_vector_store", ignore_errors=True)
@@ -115,7 +115,7 @@ print(chunks)
 
 ```python
 from dbgpt.core.awel import InputSource
-from dbgpt.rag.operators import DBSchemaRetrieverOperator
+from dbgpt_ext.rag.operators.db_schema import DBSchemaRetrieverOperator
 
 with DAG("retrieve_schema_dag") as retrieve_schema_dag:
     input_task = InputOperator(input_source=InputSource.from_callable())
@@ -194,7 +194,7 @@ from dbgpt.core import (
 )
 from dbgpt.core.awel import DAG, InputOperator, InputSource, MapOperator, JoinOperator
 from dbgpt.core.operators import PromptBuilderOperator, RequestBuilderOperator
-from dbgpt.rag.operators import DBSchemaRetrieverOperator
+from dbgpt_ext.rag.operators.db_schema import DBSchemaRetrieverOperator
 from dbgpt.model.operators import LLMOperator
 
 system_prompt = """You are a database expert. Please answer the user's question based on the database selected by the user and some of the available table structure definitions of the database.
@@ -448,13 +448,13 @@ from dbgpt.core.awel import (
 )
 from dbgpt.core.operators import PromptBuilderOperator, RequestBuilderOperator
 from dbgpt.datasource.operators import DatasourceOperator
-from dbgpt.datasource.rdbms.conn_sqlite import SQLiteTempConnector
+from dbgpt_ext.datasource.rdbms.conn_sqlite import SQLiteTempConnector
 from dbgpt.model.operators import LLMOperator
 from dbgpt.model.proxy import OpenAILLMClient
 from dbgpt_ext.rag import ChunkParameters
 from dbgpt.rag.embedding import DefaultEmbeddingFactory
-from dbgpt.rag.operators import DBSchemaAssemblerOperator, DBSchemaRetrieverOperator
-from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
+from dbgpt_ext.rag.operators.db_schema import DBSchemaAssemblerOperator, DBSchemaRetrieverOperator
+from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig, ChromaStore
 
 # Delete old vector store directory(/tmp/awel_with_data_vector_store)
 shutil.rmtree("/tmp/awel_with_data_vector_store", ignore_errors=True)

packages/dbgpt-core/src/dbgpt/agent/resource/database.py

@@ -201,7 +201,7 @@ def __init__(
         self, name: str, db_name: str, executor: Optional[Executor] = None, **kwargs
     ):
         """Initialize the SQLite database resource."""
-        from dbgpt.datasource.rdbms.conn_sqlite import SQLiteConnector
+        from dbgpt_ext.datasource.rdbms.conn_sqlite import SQLiteConnector
 
         conn = SQLiteConnector.from_file_path(db_name)
         super().__init__(name, conn, executor=executor, **kwargs)

packages/dbgpt-core/src/dbgpt/rag/evaluation/retriever.py

@@ -164,8 +164,8 @@ class RetrieverEvaluator(Evaluator):
                 RetrieverSimilarityMetric,
             )
             from dbgpt.rag.embedding import DefaultEmbeddingFactory
-            from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig
-            from dbgpt.storage.vector_store.connector import VectorStoreConnector
+            from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig
+            from dbgpt_serve.rag.connector import VectorStoreConnector
             from dbgpt.configs.model_config import MODEL_PATH, PILOT_PATH
 
             embeddings = DefaultEmbeddingFactory(

packages/dbgpt-core/src/dbgpt/rag/retriever/embedding.py

@@ -36,7 +36,9 @@ def __init__(
             .. code-block:: python
 
                 from dbgpt.storage.vector_store.connector import VectorStoreConnector
-                from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig
+                from dbgpt_ext.storage.vector_store.chroma_store import (
+                    ChromaVectorConfig,
+                )
                 from dbgpt.rag.retriever.embedding import EmbeddingRetriever
                 from dbgpt.rag.embedding.embedding_factory import (
                     DefaultEmbeddingFactory,

packages/dbgpt-ext/src/dbgpt_ext/rag/assembler/db_schema.py

@@ -19,10 +19,10 @@ class DBSchemaAssembler(BaseAssembler):
     Example:
         .. code-block:: python
 
-            from dbgpt.datasource.rdbms.conn_sqlite import SQLiteTempConnector
-            from dbgpt_serve.rag.assembler.db_struct import DBSchemaAssembler
-            from dbgpt.storage.vector_store.connector import VectorStoreBase
-            from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig
+            from dbgpt_ext.datasource.rdbms.conn_sqlite import SQLiteTempConnector
+            from dbgpt_ext.rag.assembler.db_schema import DBSchemaAssembler
+            from dbgpt.storage.vector_store.base import VectorStoreBase
+            from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig
 
             connection = SQLiteTempConnector.create_temporary_db()
             assembler = DBSchemaAssembler.load_from_connection(

packages/dbgpt-ext/src/dbgpt_ext/rag/retriever/db_schema.py

@@ -55,10 +55,12 @@ def __init__(
         Examples:
             .. code-block:: python
 
-                from dbgpt.datasource.rdbms.conn_sqlite import SQLiteTempConnector
-                from dbgpt_serve.rag.assembler.db_schema import DBSchemaAssembler
-                from dbgpt.storage.vector_store.connector import VectorStoreConnector
-                from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig
+                from dbgpt_ext.datasource.rdbms.conn_sqlite import SQLiteTempConnector
+                from dbgpt_ext.rag.assembler.db_schema import DBSchemaAssembler
+                from dbgpt_serve.rag.connector import VectorStoreConnector
+                from dbgpt_ext.storage.vector_store.chroma_store import (
+                    ChromaVectorConfig,
+                )
                 from dbgpt.rag.retriever.embedding import EmbeddingRetriever
 
 

packages/dbgpt-serve/src/dbgpt_serve/agent/evaluation/evaluation.py

@@ -141,7 +141,7 @@ class AgentEvaluator(Evaluator):
                 RetrieverSimilarityMetric,
             )
             from dbgpt.rag.embedding import DefaultEmbeddingFactory
-            from dbgpt.storage.vector_store.chroma_store import ChromaVectorConfig
+            from dbgpt_ext.storage.vector_store.chroma_store import ChromaVectorConfig
             from dbgpt.storage.vector_store.connector import VectorStoreConnector
             from dbgpt.configs.model_config import MODEL_PATH, PILOT_PATH