docs: langchain-chroma package (#20394)

docs/docs/integrations/callbacks/confident.ipynb

@@ -42,7 +42,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain langchain-openai deepeval"
+    "%pip install --upgrade --quiet  langchain langchain-openai deepeval langchain-chroma"
    ]
   },
   {
@@ -215,8 +215,8 @@
    "source": [
     "import requests\n",
     "from langchain.chains import RetrievalQA\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAI, OpenAIEmbeddings\n",
     "from langchain_text_splitters import CharacterTextSplitter\n",
     "\n",

docs/docs/integrations/document_loaders/psychic.ipynb

@@ -39,7 +39,7 @@
    ],
    "source": [
     "# Uncomment this to install psychicapi if you don't already have it installed\n",
-    "!poetry run pip -q install psychicapi"
+    "!poetry run pip -q install psychicapi langchain-chroma"
    ]
   },
   {
@@ -78,7 +78,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import RetrievalQAWithSourcesChain\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAI, OpenAIEmbeddings\n",
     "from langchain_text_splitters import CharacterTextSplitter"
    ]

docs/docs/integrations/providers/chroma.mdx

@@ -5,7 +5,7 @@
 ## Installation and Setup
 
 ```bash
-pip install chromadb
+pip install langchain-chroma
 ```
 
 
@@ -15,7 +15,7 @@ There exists a wrapper around Chroma vector databases, allowing you to use it as
 whether for semantic search or example selection.
 
 ```python
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 ```
 
 For a more detailed walkthrough of the Chroma wrapper, see [this notebook](/docs/integrations/vectorstores/chroma)

docs/docs/integrations/retrievers/merger_retriever.ipynb

@@ -28,12 +28,12 @@
     "    DocumentCompressorPipeline,\n",
     "    MergerRetriever,\n",
     ")\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_transformers import (\n",
     "    EmbeddingsClusteringFilter,\n",
     "    EmbeddingsRedundantFilter,\n",
     ")\n",
     "from langchain_community.embeddings import HuggingFaceEmbeddings\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "# Get 3 diff embeddings.\n",

docs/docs/integrations/retrievers/re_phrase.ipynb

@@ -28,8 +28,8 @@
     "import logging\n",
     "\n",
     "from langchain.retrievers import RePhraseQueryRetriever\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter"
    ]

docs/docs/integrations/retrievers/self_query/chroma_self_query.ipynb

@@ -20,7 +20,7 @@
     "## Creating a Chroma vector store\n",
     "First we'll want to create a Chroma vector store and seed it with some data. We've created a small demo set of documents that contain summaries of movies.\n",
     "\n",
-    "**Note:** The self-query retriever requires you to have `lark` installed (`pip install lark`). We also need the `chromadb` package."
+    "**Note:** The self-query retriever requires you to have `lark` installed (`pip install lark`). We also need the `langchain-chroma` package."
    ]
   },
   {
@@ -44,7 +44,7 @@
    },
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  chromadb"
+    "%pip install --upgrade --quiet  langchain-chroma"
    ]
   },
   {
@@ -87,7 +87,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_core.documents import Document\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",

docs/docs/integrations/vectorstores/chroma.ipynb

@@ -13,7 +13,7 @@
     "Install Chroma with:\n",
     "\n",
     "```sh\n",
-    "pip install chromadb\n",
+    "pip install langchain-chroma\n",
     "```\n",
     "\n",
     "Chroma runs in various modes. See below for examples of each integrated with LangChain.\n",
@@ -65,11 +65,11 @@
    ],
    "source": [
     "# import\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import TextLoader\n",
     "from langchain_community.embeddings.sentence_transformer import (\n",
     "    SentenceTransformerEmbeddings,\n",
     ")\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_text_splitters import CharacterTextSplitter\n",
     "\n",
     "# load the document and split it into chunks\n",

docs/docs/modules/agents/how_to/agent_structured.ipynb

@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -qU chromadb langchain langchain-community langchain-openai"
+    "%pip install -qU langchain langchain-community langchain-openai langchain-chroma"
    ]
   },
   {
@@ -53,8 +53,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter"
    ]

docs/docs/modules/data_connection/retrievers/MultiQueryRetriever.ipynb

@@ -20,8 +20,8 @@
    "outputs": [],
    "source": [
     "# Build a sample vectorDB\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",

docs/docs/modules/data_connection/retrievers/long_context_reorder.ipynb

@@ -21,7 +21,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  sentence-transformers > /dev/null"
+    "%pip install --upgrade --quiet  sentence-transformers langchain-chroma langchain langchain-openai > /dev/null"
    ]
   },
   {
@@ -53,11 +53,11 @@
    "source": [
     "from langchain.chains import LLMChain, StuffDocumentsChain\n",
     "from langchain.prompts import PromptTemplate\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_transformers import (\n",
     "    LongContextReorder,\n",
     ")\n",
     "from langchain_community.embeddings import HuggingFaceEmbeddings\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "# Get embeddings.\n",

docs/docs/modules/data_connection/retrievers/multi_vector.ipynb

@@ -37,8 +37,8 @@
    "outputs": [],
    "source": [
     "from langchain.storage import InMemoryByteStore\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter"
    ]

docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb

@@ -43,8 +43,8 @@
    "outputs": [],
    "source": [
     "from langchain.storage import InMemoryStore\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter"
    ]

docs/docs/modules/data_connection/retrievers/self_query.ipynb

@@ -30,7 +30,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  lark chromadb"
+    "%pip install --upgrade --quiet  lark langchain-chroma"
    ]
   },
   {
@@ -40,7 +40,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_core.documents import Document\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",

docs/docs/modules/data_connection/vectorstores/index.mdx

@@ -30,7 +30,7 @@ There are many great vector store options, here are a few that are free, open-so
 This walkthrough uses the `chroma` vector database, which runs on your local machine as a library.
 
 ```bash
-pip install chromadb
+pip install langchain-chroma
 ```
 
 We want to use OpenAIEmbeddings so we have to get the OpenAI API Key.
@@ -47,7 +47,7 @@ os.environ['OPENAI_API_KEY'] = getpass.getpass('OpenAI API Key:')
 from langchain_community.document_loaders import TextLoader
 from langchain_openai import OpenAIEmbeddings
 from langchain_text_splitters import CharacterTextSplitter
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 
 # Load the document, split it into chunks, embed each chunk and load it into the vector store.
 raw_documents = TextLoader('../../../state_of_the_union.txt').load()

docs/docs/modules/memory/adding_memory_chain_multiple_inputs.ipynb

@@ -17,7 +17,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import CharacterTextSplitter"
    ]

docs/docs/modules/model_io/prompts/example_selectors/similarity.ipynb

@@ -19,7 +19,7 @@
    "source": [
     "from langchain.prompts import FewShotPromptTemplate, PromptTemplate\n",
     "from langchain.prompts.example_selector import SemanticSimilarityExampleSelector\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "example_prompt = PromptTemplate(\n",

docs/docs/modules/model_io/prompts/few_shot_examples.ipynb

@@ -254,7 +254,7 @@
    ],
    "source": [
     "from langchain.prompts.example_selector import SemanticSimilarityExampleSelector\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "example_selector = SemanticSimilarityExampleSelector.from_examples(\n",

docs/docs/modules/model_io/prompts/few_shot_examples_chat.ipynb

@@ -202,7 +202,7 @@
    "outputs": [],
    "source": [
     "from langchain.prompts import SemanticSimilarityExampleSelector\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings"
    ]
   },

docs/docs/use_cases/chatbots/quickstart.ipynb

@@ -64,7 +64,7 @@
     }
    ],
    "source": [
-    "%pip install --upgrade --quiet langchain langchain-openai\n",
+    "%pip install --upgrade --quiet langchain langchain-openai langchain-chroma\n",
     "\n",
     "# Set env var OPENAI_API_KEY or load from a .env file:\n",
     "import dotenv\n",
@@ -391,7 +391,7 @@
     }
    ],
    "source": [
-    "%pip install --upgrade --quiet chromadb beautifulsoup4"
+    "%pip install --upgrade --quiet langchain-chroma beautifulsoup4"
    ]
   },
   {
@@ -445,7 +445,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "vectorstore = Chroma.from_documents(documents=all_splits, embedding=OpenAIEmbeddings())"

docs/docs/use_cases/chatbots/retrieval.ipynb

@@ -48,7 +48,7 @@
     }
    ],
    "source": [
-    "%pip install --upgrade --quiet langchain langchain-openai chromadb beautifulsoup4\n",
+    "%pip install --upgrade --quiet langchain langchain-openai langchain-chroma beautifulsoup4\n",
     "\n",
     "# Set env var OPENAI_API_KEY or load from a .env file:\n",
     "import dotenv\n",
@@ -129,7 +129,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "vectorstore = Chroma.from_documents(documents=all_splits, embedding=OpenAIEmbeddings())"

docs/docs/use_cases/code_understanding.ipynb

@@ -45,7 +45,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet langchain-openai tiktoken chromadb langchain git\n",
+    "%pip install --upgrade --quiet langchain-openai tiktoken langchain-chroma langchain git\n",
     "\n",
     "# Set env var OPENAI_API_KEY or load from a .env file\n",
     "# import dotenv\n",
@@ -201,7 +201,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "db = Chroma.from_documents(texts, OpenAIEmbeddings(disallowed_special=()))\n",

docs/docs/use_cases/query_analysis/how_to/high_cardinality.ipynb

@@ -38,7 +38,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %pip install -qU langchain langchain-community langchain-openai faker"
+    "# %pip install -qU langchain langchain-community langchain-openai faker langchain-chroma"
    ]
   },
   {
@@ -394,7 +394,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "embeddings = OpenAIEmbeddings(model=\"text-embedding-3-small\")\n",

docs/docs/use_cases/query_analysis/how_to/multiple_queries.ipynb

@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %pip install -qU langchain langchain-community langchain-openai chromadb"
+    "# %pip install -qU langchain langchain-community langchain-openai langchain-chroma"
    ]
   },
   {
@@ -84,7 +84,7 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "texts = [\"Harrison worked at Kensho\", \"Ankush worked at Facebook\"]\n",

docs/docs/use_cases/query_analysis/how_to/multiple_retrievers.ipynb

@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %pip install -qU langchain langchain-community langchain-openai chromadb"
+    "# %pip install -qU langchain langchain-community langchain-openai langchain-chroma"
    ]
   },
   {
@@ -84,7 +84,7 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "texts = [\"Harrison worked at Kensho\"]\n",

docs/docs/use_cases/query_analysis/how_to/no_queries.ipynb

@@ -38,7 +38,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %pip install -qU langchain langchain-community langchain-openai chromadb"
+    "# %pip install -qU langchain langchain-community langchain-openai langchain-chroma"
    ]
   },
   {
@@ -86,7 +86,7 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "texts = [\"Harrison worked at Kensho\"]\n",

docs/docs/use_cases/query_analysis/quickstart.ipynb

@@ -38,7 +38,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %pip install -qU langchain langchain-community langchain-openai youtube-transcript-api pytube chromadb"
+    "# %pip install -qU langchain langchain-community langchain-openai youtube-transcript-api pytube langchain-chroma"
    ]
   },
   {
@@ -249,7 +249,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",

docs/docs/use_cases/question_answering/chat_history.ipynb

@@ -48,7 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai chromadb bs4"
+    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai langchain-chroma bs4"
    ]
   },
   {
@@ -118,8 +118,8 @@
    "source": [
     "import bs4\n",
     "from langchain import hub\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",
@@ -406,9 +406,9 @@
     "from langchain import hub\n",
     "from langchain.chains import create_history_aware_retriever, create_retrieval_chain\n",
     "from langchain.chains.combine_documents import create_stuff_documents_chain\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.chat_message_histories import ChatMessageHistory\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.chat_history import BaseChatMessageHistory\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",

docs/docs/use_cases/question_answering/local_retrieval_qa.ipynb

@@ -27,7 +27,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain langchain-community langchainhub gpt4all chromadb "
+    "%pip install --upgrade --quiet  langchain langchain-community langchainhub gpt4all langchain-chroma "
    ]
   },
   {
@@ -72,8 +72,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.embeddings import GPT4AllEmbeddings\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "vectorstore = Chroma.from_documents(documents=all_splits, embedding=GPT4AllEmbeddings())"
    ]

docs/docs/use_cases/question_answering/quickstart.mdx

@@ -72,7 +72,7 @@ in this walkthrough, but everything shown here works with any
 We’ll use the following packages:
 
 ```python
-%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai chromadb bs4
+%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai langchain-chroma bs4
 ```
 
 We need to set environment variable `OPENAI_API_KEY` for the embeddings model, which can be done
@@ -120,7 +120,7 @@ lines of code:
 import bs4
 from langchain import hub
 from langchain_community.document_loaders import WebBaseLoader
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.runnables import RunnablePassthrough
 from langchain_openai import OpenAIEmbeddings
@@ -350,7 +350,7 @@ vector store and
 model.
 
 ```python
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_openai import OpenAIEmbeddings
 
 vectorstore = Chroma.from_documents(documents=all_splits, embedding=OpenAIEmbeddings())

docs/docs/use_cases/question_answering/sources.ipynb

@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai chromadb bs4"
+    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai langchain-chroma bs4"
    ]
   },
   {
@@ -113,8 +113,8 @@
    "source": [
     "import bs4\n",
     "from langchain import hub\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnablePassthrough\n",
     "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",

docs/docs/use_cases/question_answering/streaming.ipynb

@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai chromadb bs4"
+    "%pip install --upgrade --quiet  langchain langchain-community langchainhub langchain-openai langchain-chroma bs4"
    ]
   },
   {
@@ -113,8 +113,8 @@
    "source": [
     "import bs4\n",
     "from langchain import hub\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableParallel, RunnablePassthrough\n",
     "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n",

docs/docs/use_cases/web_scraping.ipynb

@@ -480,8 +480,8 @@
    "outputs": [],
    "source": [
     "from langchain.retrievers.web_research import WebResearchRetriever\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.utilities import GoogleSearchAPIWrapper\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_openai import ChatOpenAI, OpenAIEmbeddings"
    ]
   },