community[patch]: deprecate langchain_community Chroma in favor of langchain_chroma (#24474)

cookbook/Multi_modal_RAG.ipynb

@@ -64,7 +64,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install -U langchain openai chromadb langchain-experimental # (newest versions required for multi-modal)"
+    "! pip install -U langchain openai langchain-chroma langchain-experimental # (newest versions required for multi-modal)"
    ]
   },
   {
@@ -355,7 +355,7 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "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",

cookbook/Multi_modal_RAG_google.ipynb

@@ -37,7 +37,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -U --quiet langchain langchain_community openai chromadb langchain-experimental\n",
+    "%pip install -U --quiet langchain langchain-chroma langchain-community openai langchain-experimental\n",
     "%pip install --quiet \"unstructured[all-docs]\" pypdf pillow pydantic lxml pillow matplotlib chromadb tiktoken"
    ]
   },
@@ -344,8 +344,8 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
+    "from langchain_chroma 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",

cookbook/RAPTOR.ipynb

@@ -7,7 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pip install -U langchain umap-learn scikit-learn langchain_community tiktoken langchain-openai langchainhub chromadb langchain-anthropic"
+    "pip install -U langchain umap-learn scikit-learn langchain_community tiktoken langchain-openai langchainhub langchain-chroma langchain-anthropic"
    ]
   },
   {
@@ -645,7 +645,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "\n",
     "# Initialize all_texts with leaf_texts\n",
     "all_texts = leaf_texts.copy()\n",

cookbook/Semi_Structured_RAG.ipynb

@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain unstructured[all-docs] pydantic lxml langchainhub"
+    "! pip install langchain langchain-chroma unstructured[all-docs] pydantic lxml langchainhub"
    ]
   },
   {
@@ -320,7 +320,7 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "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",

cookbook/Semi_structured_and_multi_modal_RAG.ipynb

@@ -59,7 +59,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain unstructured[all-docs] pydantic lxml"
+    "! pip install langchain langchain-chroma unstructured[all-docs] pydantic lxml"
    ]
   },
   {
@@ -375,7 +375,7 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "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",

cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb

@@ -59,7 +59,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain unstructured[all-docs] pydantic lxml"
+    "! pip install langchain langchain-chroma unstructured[all-docs] pydantic lxml"
    ]
   },
   {
@@ -378,8 +378,8 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
+    "from langchain_chroma 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",

cookbook/advanced_rag_eval.ipynb

@@ -19,7 +19,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install -U langchain openai chromadb langchain-experimental # (newest versions required for multi-modal)"
+    "! pip install -U langchain openai langchain_chroma langchain-experimental # (newest versions required for multi-modal)"
    ]
   },
   {
@@ -132,7 +132,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "baseline = Chroma.from_texts(\n",

cookbook/agent_vectorstore.ipynb

@@ -28,7 +28,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import RetrievalQA\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\n",
     "\n",

cookbook/airbyte_github.ipynb

@@ -14,7 +14,7 @@
     }
    ],
    "source": [
-    "%pip install -qU langchain-airbyte"
+    "%pip install -qU langchain-airbyte langchain_chroma"
    ]
   },
   {
@@ -123,7 +123,7 @@
    "outputs": [],
    "source": [
     "import tiktoken\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "enc = tiktoken.get_encoding(\"cl100k_base\")\n",

cookbook/docugami_xml_kg_rag.ipynb

@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain docugami==0.0.8 dgml-utils==0.3.0 pydantic langchainhub chromadb hnswlib --upgrade --quiet"
+    "! pip install langchain docugami==0.0.8 dgml-utils==0.3.0 pydantic langchainhub langchain-chroma hnswlib --upgrade --quiet"
    ]
   },
   {
@@ -547,7 +547,7 @@
     "\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain_community.vectorstores.chroma import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_core.documents import Document\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",

cookbook/fireworks_rag.ipynb

@@ -84,7 +84,7 @@
     }
    ],
    "source": [
-    "%pip install --quiet pypdf chromadb tiktoken openai \n",
+    "%pip install --quiet pypdf langchain-chroma tiktoken openai \n",
     "%pip uninstall -y langchain-fireworks\n",
     "%pip install --editable /mnt/disks/data/langchain/libs/partners/fireworks"
    ]
@@ -138,7 +138,7 @@
     "all_splits = text_splitter.split_documents(data)\n",
     "\n",
     "# Add to vectorDB\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_fireworks.embeddings import FireworksEmbeddings\n",
     "\n",
     "vectorstore = Chroma.from_documents(\n",

cookbook/hypothetical_document_embeddings.ipynb

@@ -170,7 +170,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_text_splitters import CharacterTextSplitter\n",
     "\n",
     "with open(\"../../state_of_the_union.txt\") as f:\n",

cookbook/langgraph_agentic_rag.ipynb

@@ -7,7 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph"
+    "! pip install langchain-chroma langchain_community tiktoken langchain-openai langchainhub langchain langgraph"
    ]
   },
   {
@@ -30,8 +30,8 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\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",
     "\n",
     "urls = [\n",

cookbook/langgraph_crag.ipynb

@@ -7,7 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph tavily-python"
+    "! pip install langchain-chroma langchain_community tiktoken langchain-openai langchainhub langchain langgraph tavily-python"
    ]
   },
   {
@@ -77,8 +77,8 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\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",
     "\n",
     "urls = [\n",
@@ -180,8 +180,8 @@
     "from langchain.output_parsers.openai_tools import PydanticToolsParser\n",
     "from langchain.prompts import PromptTemplate\n",
     "from langchain.schema import Document\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "from langchain_core.messages import BaseMessage, FunctionMessage\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.pydantic_v1 import BaseModel, Field\n",

cookbook/langgraph_self_rag.ipynb

@@ -7,7 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph"
+    "! pip install langchain-chroma langchain_community tiktoken langchain-openai langchainhub langchain langgraph"
    ]
   },
   {
@@ -86,8 +86,8 @@
    "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\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",
     "\n",
     "urls = [\n",
@@ -188,7 +188,7 @@
     "from langchain.output_parsers import PydanticOutputParser\n",
     "from langchain.output_parsers.openai_tools import PydanticToolsParser\n",
     "from langchain.prompts import PromptTemplate\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_core.messages import BaseMessage, FunctionMessage\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.pydantic_v1 import BaseModel, Field\n",

cookbook/multi_modal_RAG_chroma.ipynb

@@ -58,7 +58,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install -U langchain openai chromadb langchain-experimental # (newest versions required for multi-modal)"
+    "! pip install -U langchain openai langchain-chroma langchain-experimental # (newest versions required for multi-modal)"
    ]
   },
   {
@@ -187,7 +187,7 @@
     "\n",
     "import chromadb\n",
     "import numpy as np\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_experimental.open_clip import OpenCLIPEmbeddings\n",
     "from PIL import Image as _PILImage\n",
     "\n",

cookbook/nomic_embedding_rag.ipynb

@@ -58,7 +58,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install -U langchain-nomic langchain_community tiktoken langchain-openai chromadb langchain"
+    "! pip install -U langchain-nomic langchain-chroma langchain-community tiktoken langchain-openai langchain"
    ]
   },
   {
@@ -167,7 +167,7 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.runnables import RunnableLambda, RunnablePassthrough\n",
     "from langchain_nomic import NomicEmbeddings\n",

cookbook/nomic_multimodal_rag.ipynb

@@ -56,7 +56,7 @@
    },
    "outputs": [],
    "source": [
-    "! pip install -U langchain-nomic langchain_community tiktoken langchain-openai chromadb langchain # (newest versions required for multi-modal)"
+    "! pip install -U langchain-nomic langchain-chroma langchain-community tiktoken langchain-openai langchain # (newest versions required for multi-modal)"
    ]
   },
   {
@@ -194,7 +194,7 @@
     "\n",
     "import chromadb\n",
     "import numpy as np\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_nomic import NomicEmbeddings\n",
     "from PIL import Image as _PILImage\n",
     "\n",

cookbook/openai_functions_retrieval_qa.ipynb

@@ -20,8 +20,8 @@
    "outputs": [],
    "source": [
     "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 OpenAIEmbeddings\n",
     "from langchain_text_splitters import CharacterTextSplitter"
    ]

cookbook/optimization.ipynb

@@ -80,7 +80,7 @@
    "outputs": [],
    "source": [
     "from langchain.schema import Document\n",
-    "from langchain_community.vectorstores import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "embeddings = OpenAIEmbeddings()"

cookbook/rag_with_quantized_embeddings.ipynb

@@ -36,10 +36,10 @@
     "from bs4 import BeautifulSoup as Soup\n",
     "from langchain.retrievers.multi_vector import MultiVectorRetriever\n",
     "from langchain.storage import InMemoryByteStore, LocalFileStore\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.document_loaders.recursive_url_loader import (\n",
     "    RecursiveUrlLoader,\n",
     ")\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "# For our example, we'll load docs from the web\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",

cookbook/sql_db_qa.mdx

@@ -740,7 +740,7 @@ Even this relatively large model will most likely fail to generate more complica
 
 
 ```bash
-poetry run pip install pyyaml chromadb
+poetry run pip install pyyaml langchain_chroma
 import yaml
 ```
 
@@ -994,7 +994,7 @@ from langchain.prompts import FewShotPromptTemplate, PromptTemplate
 from langchain.chains.sql_database.prompt import _sqlite_prompt, PROMPT_SUFFIX
 from langchain_huggingface import HuggingFaceEmbeddings
 from langchain.prompts.example_selector.semantic_similarity import SemanticSimilarityExampleSelector
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 
 example_prompt = PromptTemplate(
     input_variables=["table_info", "input", "sql_cmd", "sql_result", "answer"],

cookbook/together_ai.ipynb

@@ -22,7 +22,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! pip install --quiet pypdf chromadb tiktoken openai langchain-together"
+    "! pip install --quiet pypdf tiktoken openai langchain-chroma langchain-together"
    ]
   },
   {
@@ -45,8 +45,8 @@
     "all_splits = text_splitter.split_documents(data)\n",
     "\n",
     "# Add to vectorDB\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_community.embeddings import OpenAIEmbeddings\n",
-    "from langchain_community.vectorstores import Chroma\n",
     "\n",
     "\"\"\"\n",
     "from langchain_together.embeddings import TogetherEmbeddings\n",

docs/docs/integrations/document_loaders/docugami.ipynb

@@ -162,7 +162,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!poetry run pip install --upgrade langchain-openai tiktoken chromadb hnswlib"
+    "!poetry run pip install --upgrade langchain-openai tiktoken langchain-chroma hnswlib"
    ]
   },
   {
@@ -211,7 +211,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import RetrievalQA\n",
-    "from langchain_community.vectorstores.chroma import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAI, OpenAIEmbeddings\n",
     "\n",
     "embedding = OpenAIEmbeddings()\n",
@@ -365,7 +365,7 @@
    "source": [
     "from langchain.chains.query_constructor.schema import AttributeInfo\n",
     "from langchain.retrievers.self_query.base import SelfQueryRetriever\n",
-    "from langchain_community.vectorstores.chroma import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "\n",
     "EXCLUDE_KEYS = [\"id\", \"xpath\", \"structure\"]\n",
     "metadata_field_info = [\n",
@@ -540,7 +540,7 @@
    "source": [
     "from langchain.retrievers.multi_vector import MultiVectorRetriever, SearchType\n",
     "from langchain.storage import InMemoryStore\n",
-    "from langchain_community.vectorstores.chroma import Chroma\n",
+    "from langchain_chroma import Chroma\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "# The vectorstore to use to index the child chunks\n",

libs/community/langchain_community/vectorstores/chroma.py

@@ -50,6 +50,7 @@ def _results_to_docs_and_scores(results: Any) -> List[Tuple[Document, float]]:
     ]
 
 
+@deprecated(since="0.2.9", removal="0.4", alternative_import="langchain_chroma.Chroma")
 class Chroma(VectorStore):
     """`ChromaDB` vector store.
 

libs/community/tests/integration_tests/embeddings/test_sentence_transformer.py

@@ -1,10 +1,11 @@
 # flake8: noqa
 """Test sentence_transformer embeddings."""
 
+from langchain_core.vectorstores import InMemoryVectorStore
+
 from langchain_community.embeddings.sentence_transformer import (
     SentenceTransformerEmbeddings,
 )
-from langchain_community.vectorstores import Chroma
 
 
 def test_sentence_transformer_embedding_documents() -> None:
@@ -34,7 +35,7 @@ def test_sentence_transformer_db_query() -> None:
     query = "what the foo is a bar?"
     query_vector = embedding.embed_query(query)
     assert len(query_vector) == 384
-    db = Chroma(embedding_function=embedding)
+    db = InMemoryVectorStore(embedding=embedding)
     db.add_texts(texts)
     docs = db.similarity_search_by_vector(query_vector, k=2)
     assert docs[0].page_content == "we will foo your bar until you can't foo any more"

libs/community/tests/integration_tests/retrievers/test_merger_retriever.py

@@ -1,7 +1,7 @@
 from langchain.retrievers.merger_retriever import MergerRetriever
+from langchain_core.vectorstores import InMemoryVectorStore
 
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 
 
 def test_merger_retriever_get_relevant_docs() -> None:
@@ -17,12 +17,12 @@ def test_merger_retriever_get_relevant_docs() -> None:
         "Real stupidity beats artificial intelligence every time. TP",
     ]
     embeddings = OpenAIEmbeddings()
-    retriever_a = Chroma.from_texts(texts_group_a, embedding=embeddings).as_retriever(
+    retriever_a = InMemoryVectorStore.from_texts(
-        search_kwargs={"k": 1}
+        texts_group_a, embedding=embeddings
-    )
+    ).as_retriever(search_kwargs={"k": 1})
-    retriever_b = Chroma.from_texts(texts_group_b, embedding=embeddings).as_retriever(
+    retriever_b = InMemoryVectorStore.from_texts(
-        search_kwargs={"k": 1}
+        texts_group_b, embedding=embeddings
-    )
+    ).as_retriever(search_kwargs={"k": 1})
 
     # The Lord of the Retrievers.
     lotr = MergerRetriever(retrievers=[retriever_a, retriever_b])

libs/community/tests/integration_tests/test_long_context_reorder.py

@@ -1,10 +1,11 @@
 """Integration test for doc reordering."""
 
+from langchain_core.vectorstores import InMemoryVectorStore
+
 from langchain_community.document_transformers.long_context_reorder import (
     LongContextReorder,
 )
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 
 
 def test_long_context_reorder() -> None:
@@ -22,9 +23,9 @@ def test_long_context_reorder() -> None:
         "Larry Bird was an iconic NBA player.",
     ]
     embeddings = OpenAIEmbeddings()
-    retriever = Chroma.from_texts(texts, embedding=embeddings).as_retriever(
+    retriever = InMemoryVectorStore.from_texts(
-        search_kwargs={"k": 10}
+        texts, embedding=embeddings
-    )
+    ).as_retriever(search_kwargs={"k": 10})
     reordering = LongContextReorder()
     docs = retriever.invoke("Tell me about the Celtics")
     actual = reordering.transform_documents(docs)

libs/community/tests/unit_tests/chains/test_pebblo_retrieval.py

@@ -11,7 +11,11 @@ from langchain_core.callbacks import (
     CallbackManagerForRetrieverRun,
 )
 from langchain_core.documents import Document
-from langchain_core.vectorstores import VectorStore, VectorStoreRetriever
+from langchain_core.vectorstores import (
+    InMemoryVectorStore,
+    VectorStore,
+    VectorStoreRetriever,
+)
 
 from langchain_community.chains import PebbloRetrievalQA
 from langchain_community.chains.pebblo_retrieval.models import (
@@ -19,7 +23,6 @@ from langchain_community.chains.pebblo_retrieval.models import (
     ChainInput,
     SemanticContext,
 )
-from langchain_community.vectorstores.chroma import Chroma
 from langchain_community.vectorstores.pinecone import Pinecone
 from tests.unit_tests.llms.fake_llm import FakeLLM
 
@@ -49,8 +52,8 @@ def unsupported_retriever() -> FakeRetriever:
     """
     retriever = FakeRetriever()
     retriever.search_kwargs = {}
-    # Set the class of vectorstore to Chroma
+    # Set the class of vectorstore
-    retriever.vectorstore.__class__ = Chroma
+    retriever.vectorstore.__class__ = InMemoryVectorStore
     return retriever
 
 

libs/langchain/langchain/memory/vectorstore_token_buffer_memory.py

@@ -67,7 +67,7 @@ class ConversationVectorStoreTokenBufferMemory(ConversationTokenBufferMemory):
         from langchain.memory.token_buffer_vectorstore_memory import (
                 ConversationVectorStoreTokenBufferMemory
         )
-        from langchain_community.vectorstores import Chroma
+        from langchain_chroma import Chroma
         from langchain_community.embeddings import HuggingFaceInstructEmbeddings
         from langchain_openai import OpenAI
 

libs/langchain/langchain/retrievers/parent_document_retriever.py

@@ -31,8 +31,8 @@ class ParentDocumentRetriever(MultiVectorRetriever):
 
         .. code-block:: python
 
+            from langchain_chroma import Chroma
             from langchain_community.embeddings import OpenAIEmbeddings
-            from langchain_community.vectorstores import Chroma
             from langchain_text_splitters import RecursiveCharacterTextSplitter
             from langchain.storage import InMemoryStore
 

templates/cohere-librarian/cohere_librarian/blurb_matcher.py

@@ -1,8 +1,8 @@
 import csv
 
 from langchain.chains.question_answering import load_qa_chain
+from langchain_chroma import Chroma
 from langchain_community.embeddings import CohereEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.prompts import PromptTemplate
 
 from .chat import chat

templates/cohere-librarian/pyproject.toml

@@ -9,7 +9,7 @@ readme = "README.md"
 python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 cohere = "^4.37"
-chromadb = "^0.4.18"
+langchain-chroma = "^0.1.2"
 
 [tool.poetry.group.dev.dependencies]
 langchain-cli = ">=0.0.21"

templates/hyde/hyde/chain.py

@@ -1,6 +1,6 @@
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/hyde/pyproject.toml

@@ -9,7 +9,7 @@ readme = "README.md"
 python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 openai = "<2"
-chromadb = "^0.4.15"
+langchain-chroma = "^0.1.2"
 tiktoken = "^0.5.1"
 langchain-text-splitters = ">=0.0.1,<0.1"
 

templates/intel-rag-xeon/ingest.py

@@ -1,9 +1,9 @@
 import os
 
 from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_chroma import Chroma
 from langchain_community.document_loaders import UnstructuredFileLoader
 from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 
 

templates/intel-rag-xeon/intel_rag_xeon/chain.py

@@ -1,7 +1,7 @@
 from langchain.callbacks import streaming_stdout
+from langchain_chroma import Chroma
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_community.llms import HuggingFaceEndpoint
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/intel-rag-xeon/pyproject.toml

@@ -14,7 +14,7 @@ fastapi = "^0.104.0"
 sse-starlette = "^1.6.5"
 sentence-transformers = "2.2.2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 beautifulsoup4 = ">=4.12.2"
 
 [tool.poetry.dependencies.unstructured]

templates/propositional-retrieval/propositional_retrieval/storage.py

@@ -3,8 +3,8 @@ from pathlib import Path
 
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import LocalFileStore
+from langchain_chroma import Chroma
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 
 logging.basicConfig(level=logging.INFO)
 

templates/propositional-retrieval/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 bs4 = "^0.0.1"
 langchain-text-splitters = ">=0.0.1,<0.1"
 

templates/rag-chroma-multi-modal-multi-vector/ingest.py

@@ -8,9 +8,9 @@ from pathlib import Path
 import pypdfium2 as pdfium
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import LocalFileStore, UpstashRedisByteStore
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from PIL import Image

templates/rag-chroma-multi-modal-multi-vector/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = ">=0.0.353,<0.2"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 pypdfium2 = ">=4.20.0"
 langchain-experimental = ">=0.0.43"
 upstash-redis = ">=1.0.0"

templates/rag-chroma-multi-modal-multi-vector/rag_chroma_multi_modal_multi_vector/chain.py

@@ -6,9 +6,9 @@ from pathlib import Path
 from langchain.pydantic_v1 import BaseModel
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import LocalFileStore, UpstashRedisByteStore
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from langchain_core.output_parsers import StrOutputParser

templates/rag-chroma-multi-modal/ingest.py

@@ -2,7 +2,7 @@ import os
 from pathlib import Path
 
 import pypdfium2 as pdfium
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_experimental.open_clip import OpenCLIPEmbeddings
 
 

templates/rag-chroma-multi-modal/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = ">=0.0.353,<0.2"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 open-clip-torch = ">=2.23.0"
 torch = ">=2.1.0"
 pypdfium2 = ">=4.20.0"

templates/rag-chroma-multi-modal/rag_chroma_multi_modal/chain.py

@@ -2,8 +2,8 @@ import base64
 import io
 from pathlib import Path
 
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from langchain_core.output_parsers import StrOutputParser

templates/rag-chroma-private/pyproject.toml

@@ -11,7 +11,7 @@ readme = "README.md"
 python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 gpt4all = ">=1.0.8"
 beautifulsoup4 = ">=4.12.2"
 langchain-text-splitters = ">=0.0.1,<0.1"

templates/rag-chroma-private/rag_chroma_private/chain.py

@@ -1,8 +1,8 @@
 # Load
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOllama
 from langchain_community.document_loaders import WebBaseLoader
 from langchain_community.embeddings import GPT4AllEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/rag-chroma/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 langchain-text-splitters = ">=0.0.1,<0.1"
 
 [tool.poetry.group.dev.dependencies]

templates/rag-chroma/rag_chroma/chain.py

@@ -1,6 +1,6 @@
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/rag-codellama-fireworks/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.9,<4.0"
 langchain = "^0.1"
 gpt4all = ">=1.0.8"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 fireworks-ai = ">=0.6.0"
 langchain-text-splitters = ">=0.0.1,<0.1"
 

templates/rag-codellama-fireworks/rag_codellama_fireworks/chain.py

@@ -1,11 +1,11 @@
 import os
 
 from git import Repo
+from langchain_chroma import Chroma
 from langchain_community.document_loaders.generic import GenericLoader
 from langchain_community.document_loaders.parsers import LanguageParser
 from langchain_community.embeddings import GPT4AllEmbeddings
 from langchain_community.llms.fireworks import Fireworks
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/rag-gemini-multi-modal/ingest.py

@@ -2,7 +2,7 @@ import os
 from pathlib import Path
 
 import pypdfium2 as pdfium
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_experimental.open_clip import OpenCLIPEmbeddings
 
 

templates/rag-gemini-multi-modal/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.9,<4.0"
 langchain = ">=0.0.353,<0.2"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 open-clip-torch = ">=2.23.0"
 torch = ">=2.1.0"
 pypdfium2 = ">=4.20.0"

templates/rag-gemini-multi-modal/rag_gemini_multi_modal/chain.py

@@ -2,7 +2,7 @@ import base64
 import io
 from pathlib import Path
 
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from langchain_core.output_parsers import StrOutputParser

templates/rag-gpt-crawler/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 langchain-text-splitters = ">=0.0.1,<0.1"
 
 [tool.poetry.group.dev.dependencies]

templates/rag-gpt-crawler/rag_gpt_crawler/chain.py

@@ -1,9 +1,9 @@
 import json
 from pathlib import Path
 
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate

templates/rag-multi-modal-local/ingest.py

@@ -1,7 +1,7 @@
 import os
 from pathlib import Path
 
-from langchain_community.vectorstores import Chroma
+from langchain_chroma import Chroma
 from langchain_nomic import NomicMultimodalEmbeddings
 
 # Load images

templates/rag-multi-modal-local/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = ">=0.0.353,<0.2"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 open-clip-torch = ">=2.23.0"
 torch = ">=2.1.0"
 langchain-experimental = ">=0.0.43"

templates/rag-multi-modal-local/rag_multi_modal_local/chain.py

@@ -2,8 +2,8 @@ import base64
 import io
 from pathlib import Path
 
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOllama
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from langchain_core.output_parsers import StrOutputParser

templates/rag-multi-modal-mv-local/ingest.py

@@ -7,9 +7,9 @@ from pathlib import Path
 
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import LocalFileStore
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOllama
 from langchain_community.embeddings import OllamaEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from PIL import Image

templates/rag-multi-modal-mv-local/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = ">=0.0.353,<0.2"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 pypdfium2 = ">=4.20.0"
 langchain-experimental = ">=0.0.43"
 pillow = ">=10.1.0"

templates/rag-multi-modal-mv-local/rag_multi_modal_mv_local/chain.py

@@ -5,9 +5,9 @@ from pathlib import Path
 from langchain.pydantic_v1 import BaseModel
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import LocalFileStore
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOllama
 from langchain_community.embeddings import OllamaEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.messages import HumanMessage
 from langchain_core.output_parsers import StrOutputParser

templates/rag-ollama-multi-query/pyproject.toml

@@ -12,7 +12,7 @@ python = ">=3.8.1,<4.0"
 langchain = "^0.1"
 openai = "<2"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 langchain-text-splitters = ">=0.0.1,<0.1"
 
 [tool.poetry.group.dev.dependencies]

templates/rag-ollama-multi-query/rag_ollama_multi_query/chain.py

@@ -1,8 +1,8 @@
 from langchain.retrievers.multi_query import MultiQueryRetriever
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOllama, ChatOpenAI
 from langchain_community.document_loaders import WebBaseLoader
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate, PromptTemplate
 from langchain_core.pydantic_v1 import BaseModel

templates/rag-semi-structured/pyproject.toml

@@ -11,7 +11,7 @@ readme = "README.md"
 python = ">=3.9,<4"
 langchain = "^0.1"
 tiktoken = ">=0.5.1"
-chromadb = ">=0.4.14"
+langchain-chroma = "^0.1.2"
 openai = "<2"
 unstructured = ">=0.10.19"
 pdf2image = ">=1.16.3"

templates/rag-semi-structured/rag_semi_structured/chain.py

@@ -3,9 +3,9 @@ import uuid
 
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.storage import InMemoryStore
+from langchain_chroma import Chroma
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.documents import Document
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate