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docs: langchain-openai (#15513)

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Updates docs and cookbooks to import ChatOpenAI, OpenAI, and OpenAI
Embeddings from `langchain_openai`

There are likely more

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Erick Friis
2024-01-06 15:54:48 -08:00
committed by GitHub
parent be612f408e
commit b1fa726377
414 changed files with 808 additions and 834 deletions
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8
cookbook/retrieval_in_sql.ipynb
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@@ -43,7 +43,7 @@
"outputs": [],
"source": [
"from langchain.sql_database import SQLDatabase\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"CONNECTION_STRING = \"postgresql+psycopg2://postgres:test@localhost:5432/vectordb\" # Replace with your own\n",
"db = SQLDatabase.from_uri(CONNECTION_STRING)"
@@ -88,7 +88,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"embeddings_model = OpenAIEmbeddings()"
]
@@ -219,7 +219,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.prompts import ChatPromptTemplate\n",
"from langchain_core.prompts import ChatPromptTemplate\n",
"\n",
"template = \"\"\"You are a Postgres expert. Given an input question, first create a syntactically correct Postgres query to run, then look at the results of the query and return the answer to the input question.\n",
"Unless the user specifies in the question a specific number of examples to obtain, query for at most 5 results using the LIMIT clause as per Postgres. You can order the results to return the most informative data in the database.\n",
@@ -267,9 +267,9 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_core.output_parsers import StrOutputParser\n",
"from langchain_core.runnables import RunnablePassthrough\n",
"from langchain_openai import ChatOpenAI\n",
"\n",
"db = SQLDatabase.from_uri(\n",
" CONNECTION_STRING\n",