docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429)

ran 
```bash
g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g"
g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g"
g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g"
g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g"
g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g"
g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g"
gco master libs/langchain/tests/unit_tests/*/test_imports.py
gco master libs/langchain/tests/unit_tests/**/test_public_api.py
```
This commit is contained in:
Bagatur
2024-01-02 16:47:11 -05:00
committed by GitHub
parent a33d92306c
commit fa5d49f2c1
592 changed files with 1412 additions and 1327 deletions

View File

@@ -23,9 +23,9 @@
"metadata": {},
"source": [
"1. Prepare data:\n",
" 1. Upload all python project files using the `langchain.document_loaders.TextLoader`. We will call these files the **documents**.\n",
" 1. Upload all python project files using the `langchain_community.document_loaders.TextLoader`. We will call these files the **documents**.\n",
" 2. Split all documents to chunks using the `langchain.text_splitter.CharacterTextSplitter`.\n",
" 3. Embed chunks and upload them into the DeepLake using `langchain.embeddings.openai.OpenAIEmbeddings` and `langchain.vectorstores.DeepLake`\n",
" 3. Embed chunks and upload them into the DeepLake using `langchain.embeddings.openai.OpenAIEmbeddings` and `langchain_community.vectorstores.DeepLake`\n",
"2. Question-Answering:\n",
" 1. Build a chain from `langchain.chat_models.ChatOpenAI` and `langchain.chains.ConversationalRetrievalChain`\n",
" 2. Prepare questions.\n",
@@ -166,7 +166,7 @@
}
],
"source": [
"from langchain.document_loaders import TextLoader\n",
"from langchain_community.document_loaders import TextLoader\n",
"\n",
"root_dir = \"../../../../../../libs\"\n",
"\n",
@@ -706,7 +706,7 @@
{
"data": {
"text/plain": [
"<langchain.vectorstores.deeplake.DeepLake at 0x7fe1b67d7a30>"
"<langchain_community.vectorstores.deeplake.DeepLake at 0x7fe1b67d7a30>"
]
},
"execution_count": 15,
@@ -715,7 +715,7 @@
}
],
"source": [
"from langchain.vectorstores import DeepLake\n",
"from langchain_community.vectorstores import DeepLake\n",
"\n",
"username = \"<USERNAME_OR_ORG>\"\n",
"\n",
@@ -740,7 +740,7 @@
"metadata": {},
"outputs": [],
"source": [
"# from langchain.vectorstores import DeepLake\n",
"# from langchain_community.vectorstores import DeepLake\n",
"\n",
"# db = DeepLake.from_documents(\n",
"# texts, embeddings, dataset_path=f\"hub://{<org_id>}/langchain-code\", runtime={\"tensor_db\": True}\n",