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chore: Update dependency reference path (#2745)

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alanchen
2025-06-03 11:31:19 +08:00
committed by GitHub
parent 0188d2367b
commit 4afa2b84b9
11 changed files with 35 additions and 30 deletions
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2
docs/docs/agents/modules/memory/hybrid_memory.md
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@@ -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)

2
docs/docs/agents/modules/memory/long_term_memory.md
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@@ -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)

11
docs/docs/awel/cookbook/first_rag_with_awel.md
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@@ -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

18
docs/docs/awel/cookbook/write_your_chat_database.md
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@@ -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)