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DOCS: format notebooks (#13371)

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Bagatur
2023-11-14 14:17:44 -08:00
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parent d63d4994c0
commit 3596be5210
455 changed files with 3168 additions and 3136 deletions
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26
cookbook/myscale_vector_sql.ipynb
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@@ -27,17 +27,15 @@
"metadata": {},
"outputs": [],
"source": [
"from os import environ\n",
"import getpass\n",
"from langchain.llms import OpenAI\n",
"from langchain.utilities import SQLDatabase\n",
"from os import environ\n",
"\n",
"from langchain.chains import LLMChain\n",
"from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
"from sqlalchemy import create_engine, MetaData\n",
"from langchain.llms import OpenAI\n",
"from langchain.prompts import PromptTemplate\n",
"\n",
"\n",
"from sqlalchemy import create_engine\n",
"from langchain.utilities import SQLDatabase\n",
"from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
"from sqlalchemy import MetaData, create_engine\n",
"\n",
"MYSCALE_HOST = \"msc-4a9e710a.us-east-1.aws.staging.myscale.cloud\"\n",
"MYSCALE_PORT = 443\n",
@@ -76,9 +74,8 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.llms import OpenAI\n",
"from langchain.callbacks import StdOutCallbackHandler\n",
"\n",
"from langchain.llms import OpenAI\n",
"from langchain.utilities.sql_database import SQLDatabase\n",
"from langchain_experimental.sql.prompt import MYSCALE_PROMPT\n",
"from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
@@ -119,15 +116,16 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.chains.qa_with_sources.retrieval import RetrievalQAWithSourcesChain\n",
"\n",
"from langchain_experimental.sql.vector_sql import VectorSQLDatabaseChain\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain_experimental.retrievers.vector_sql_database import (\n",
" VectorSQLDatabaseChainRetriever,\n",
")\n",
"from langchain_experimental.sql.prompt import MYSCALE_PROMPT\n",
"from langchain_experimental.sql.vector_sql import VectorSQLRetrieveAllOutputParser\n",
"from langchain_experimental.sql.vector_sql import (\n",
" VectorSQLDatabaseChain,\n",
" VectorSQLRetrieveAllOutputParser,\n",
")\n",
"\n",
"output_parser_retrieve_all = VectorSQLRetrieveAllOutputParser.from_embeddings(\n",
" output_parser.model\n",