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Code Issues Packages Projects Releases Wiki Activity

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

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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
Download Patch File Download Diff File Expand all files Collapse all files

4
cookbook/Multi_modal_RAG.ipynb
View File

@@ -101,7 +101,7 @@
"If you want to use the provided folder, then simply opt for a [pdf loader](https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf) for the document:\n",
"\n",
"```\n",
"from langchain.document_loaders import PyPDFLoader\n",
"from langchain_community.document_loaders import PyPDFLoader\n",
"loader = PyPDFLoader(path + fname)\n",
"docs = loader.load()\n",
"tables = [] # Ignore w/ basic pdf loader\n",
@@ -355,8 +355,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"\n",

4
cookbook/Multi_modal_RAG_google.ipynb
View File

@@ -93,7 +93,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import PyPDFLoader\n",
"from langchain_community.document_loaders import PyPDFLoader\n",
"\n",
"loader = PyPDFLoader(\"./cj/cj.pdf\")\n",
"docs = loader.load()\n",
@@ -344,8 +344,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import VertexAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"\n",

2
cookbook/Semi_Structured_RAG.ipynb
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@@ -320,8 +320,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

2
cookbook/Semi_structured_and_multi_modal_RAG.ipynb
View File

@@ -375,8 +375,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

2
cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb
View File

@@ -378,8 +378,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import GPT4AllEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"# The vectorstore to use to index the child chunks\n",

4
cookbook/advanced_rag_eval.ipynb
View File

@@ -62,7 +62,7 @@
"path = \"/Users/rlm/Desktop/cpi/\"\n",
"\n",
"# Load\n",
"from langchain.document_loaders import PyPDFLoader\n",
"from langchain_community.document_loaders import PyPDFLoader\n",
"\n",
"loader = PyPDFLoader(path + \"cpi.pdf\")\n",
"pdf_pages = loader.load()\n",
@@ -132,8 +132,8 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma\n",
"\n",
"baseline = Chroma.from_texts(\n",
" texts=all_splits_pypdf_texts,\n",

6
cookbook/agent_vectorstore.ipynb
View File

@@ -29,9 +29,9 @@
"source": [
"from langchain.chains import RetrievalQA\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_community.llms import OpenAI\n",
"from langchain_community.vectorstores import Chroma\n",
"\n",
"llm = OpenAI(temperature=0)"
]
@@ -69,7 +69,7 @@
}
],
"source": [
"from langchain.document_loaders import TextLoader\n",
"from langchain_community.document_loaders import TextLoader\n",
"\n",
"loader = TextLoader(doc_path)\n",
"documents = loader.load()\n",
@@ -99,7 +99,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import WebBaseLoader"
"from langchain_community.document_loaders import WebBaseLoader"
]
},
{

6
cookbook/autogpt/autogpt.ipynb
View File

@@ -62,8 +62,8 @@
"outputs": [],
"source": [
"from langchain.docstore import InMemoryDocstore\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS"
]
},
{
@@ -167,7 +167,7 @@
},
"outputs": [],
"source": [
"from langchain.memory.chat_message_histories import FileChatMessageHistory\n",
"from langchain_community.chat_message_histories import FileChatMessageHistory\n",
"\n",
"agent = AutoGPT.from_llm_and_tools(\n",
" ai_name=\"Tom\",\n",

2
cookbook/autogpt/marathon_times.ipynb
View File

@@ -311,8 +311,8 @@
"# Memory\n",
"import faiss\n",
"from langchain.docstore import InMemoryDocstore\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS\n",
"\n",
"embeddings_model = OpenAIEmbeddings()\n",
"embedding_size = 1536\n",

2
cookbook/baby_agi.ipynb
View File

@@ -54,7 +54,7 @@
"outputs": [],
"source": [
"from langchain.docstore import InMemoryDocstore\n",
"from langchain.vectorstores import FAISS"
"from langchain_community.vectorstores import FAISS"
]
},
{

2
cookbook/baby_agi_with_agent.ipynb
View File

@@ -63,7 +63,7 @@
"%pip install faiss-cpu > /dev/null\n",
"%pip install google-search-results > /dev/null\n",
"from langchain.docstore import InMemoryDocstore\n",
"from langchain.vectorstores import FAISS"
"from langchain_community.vectorstores import FAISS"
]
},
{

12
cookbook/code-analysis-deeplake.ipynb
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",

4
cookbook/custom_agent_with_plugin_retrieval.ipynb
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@@ -115,8 +115,8 @@
"outputs": [],
"source": [
"from langchain.schema import Document\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS"
]
},
{

4
cookbook/custom_agent_with_plugin_retrieval_using_plugnplai.ipynb
View File

@@ -139,8 +139,8 @@
"outputs": [],
"source": [
"from langchain.schema import Document\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS"
]
},
{

4
cookbook/custom_agent_with_tool_retrieval.ipynb
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@@ -104,8 +104,8 @@
"outputs": [],
"source": [
"from langchain.schema import Document\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.embeddings import OpenAIEmbeddings"
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS"
]
},
{

2
cookbook/deeplake_semantic_search_over_chat.ipynb
View File

@@ -56,9 +56,9 @@
" CharacterTextSplitter,\n",
" RecursiveCharacterTextSplitter,\n",
")\n",
"from langchain.vectorstores import DeepLake\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_community.llms import OpenAI\n",
"from langchain_community.vectorstores import DeepLake\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"activeloop_token = getpass.getpass(\"Activeloop Token:\")\n",

2
cookbook/docugami_xml_kg_rag.ipynb
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@@ -547,8 +547,8 @@
"\n",
"from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
"from langchain.storage import InMemoryStore\n",
"from langchain.vectorstores.chroma import Chroma\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores.chroma import Chroma\n",
"from langchain_core.documents import Document\n",
"\n",
"\n",

2
cookbook/generative_agents_interactive_simulacra_of_human_behavior.ipynb
View File

@@ -49,9 +49,9 @@
"\n",
"from langchain.docstore import InMemoryDocstore\n",
"from langchain.retrievers import TimeWeightedVectorStoreRetriever\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import FAISS\n",
"from termcolor import colored"
]
},

2
cookbook/hypothetical_document_embeddings.ipynb
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@@ -172,7 +172,7 @@
"outputs": [],
"source": [
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.vectorstores import Chroma\n",
"\n",
"with open(\"../../state_of_the_union.txt\") as f:\n",
" state_of_the_union = f.read()\n",

2
cookbook/multi_modal_RAG_chroma.ipynb
View File

@@ -187,7 +187,7 @@
"\n",
"import chromadb\n",
"import numpy as np\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_experimental.open_clip import OpenCLIPEmbeddings\n",
"from PIL import Image as _PILImage\n",
"\n",

6
cookbook/openai_functions_retrieval_qa.ipynb
View File

@@ -20,10 +20,10 @@
"outputs": [],
"source": [
"from langchain.chains import RetrievalQA\n",
"from langchain.document_loaders import TextLoader\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings"
"from langchain_community.document_loaders import TextLoader\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Chroma"
]
},
{

8
cookbook/qianfan_baidu_elasticesearch_RAG.ipynb
View File

@@ -59,11 +59,13 @@
"from baidubce.auth.bce_credentials import BceCredentials\n",
"from baidubce.bce_client_configuration import BceClientConfiguration\n",
"from langchain.chains.retrieval_qa import RetrievalQA\n",
"from langchain.document_loaders.baiducloud_bos_directory import BaiduBOSDirectoryLoader\n",
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain.vectorstores import BESVectorStore\n",
"from langchain_community.document_loaders.baiducloud_bos_directory import (\n",
" BaiduBOSDirectoryLoader,\n",
")\n",
"from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings\n",
"from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint"
"from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\n",
"from langchain_community.vectorstores import BESVectorStore"
]
},
{

2
cookbook/rag_fusion.ipynb
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@@ -30,8 +30,8 @@
"outputs": [],
"source": [
"import pinecone\n",
"from langchain.vectorstores import Pinecone\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import Pinecone\n",
"\n",
"pinecone.init(api_key=\"...\", environment=\"...\")"
]

2
cookbook/sales_agent_with_context.ipynb
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@@ -53,10 +53,10 @@
"from langchain.prompts.base import StringPromptTemplate\n",
"from langchain.schema import AgentAction, AgentFinish\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores import Chroma\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_community.llms import BaseLLM, OpenAI\n",
"from langchain_community.vectorstores import Chroma\n",
"from pydantic import BaseModel, Field"
]
},

2
cookbook/self_query_hotel_search.ipynb
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@@ -1083,8 +1083,8 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores import ElasticsearchStore\n",
"from langchain_community.embeddings import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import ElasticsearchStore\n",
"\n",
"embeddings = OpenAIEmbeddings()"
]

2
cookbook/sql_db_qa.mdx
View File

@@ -996,7 +996,7 @@ from langchain.prompts import FewShotPromptTemplate, PromptTemplate
from langchain.chains.sql_database.prompt import _sqlite_prompt, PROMPT_SUFFIX
from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
from langchain.prompts.example_selector.semantic_similarity import SemanticSimilarityExampleSelector
from langchain.vectorstores import Chroma
from langchain_community.vectorstores import Chroma
example_prompt = PromptTemplate(
input_variables=["table_info", "input", "sql_cmd", "sql_result", "answer"],

4
cookbook/twitter-the-algorithm-analysis-deeplake.ipynb
View File

@@ -37,8 +37,8 @@
"import getpass\n",
"import os\n",
"\n",
"from langchain.vectorstores import DeepLake\n",
"from langchain_community.embeddings.openai import OpenAIEmbeddings\n",
"from langchain_community.vectorstores import DeepLake\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"activeloop_token = getpass.getpass(\"Activeloop Token:\")\n",
@@ -110,7 +110,7 @@
"source": [
"import os\n",
"\n",
"from langchain.document_loaders import TextLoader\n",
"from langchain_community.document_loaders import TextLoader\n",
"\n",
"root_dir = \"./the-algorithm\"\n",
"docs = []\n",