> ## Documentation Index > Fetch the complete documentation index at: https://docs.langchain.com/llms.txt > Use this file to discover all available pages before exploring further. # Vector store integrations > Integrate with vector stores using LangChain Python. ## Overview A vector stores [embedded](/oss/python/integrations/embeddings) data and performs similarity search. ```mermaid theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} flowchart LR subgraph "📥 Indexing phase (store)" A[📄 Documents] --> B[🔢 Embedding model] B --> C[🔘 Embedding vectors] C --> D[(Vector store)] end subgraph "📤 Query phase (retrieval)" E[❓ Query text] --> F[🔢 Embedding model] F --> G[🔘 Query vector] G --> H[🔍 Similarity search] H --> D D --> I[📄 Top-k results] end classDef process fill:#E5F4FF,stroke:#006DDD,stroke-width:2px,color:#030710 class A,B,C,D,E,F,G,H,I process ``` ### Interface LangChain provides a unified interface for vector stores, allowing you to: * `add_documents` - Add documents to the store. * `delete` - Remove stored documents by ID. * `similarity_search` - Query for semantically similar documents. This abstraction lets you switch between different implementations without altering your application logic. ### Initialization To initialize a vector store, provide it with an embedding model: ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_core.vectorstores import InMemoryVectorStore vector_store = InMemoryVectorStore(embedding=SomeEmbeddingModel()) ``` ### Adding documents Add [`Document`](https://reference.langchain.com/python/langchain-core/documents/base/Document) objects (holding `page_content` and optional metadata) like so: ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} vector_store.add_documents(documents=[doc1, doc2], ids=["id1", "id2"]) ``` ### Deleting documents Delete by specifying IDs: ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} vector_store.delete(ids=["id1"]) ``` ### Similarity search Issue a semantic query using `similarity_search`, which returns the closest embedded documents: ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} similar_docs = vector_store.similarity_search("your query here") ``` Many vector stores support parameters like: * `k` — number of results to return * `filter` — conditional filtering based on metadata ### Similarity metrics & indexing Embedding similarity may be computed using: * **Cosine similarity** * **Euclidean distance** * **Dot product** Efficient search often employs indexing methods such as HNSW (Hierarchical Navigable Small World), though specifics depend on the vector store. ### Metadata filtering Filtering by metadata (e.g., source, date) can refine search results: ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} vector_store.similarity_search( "query", k=3, filter={"source": "tweets"} ) ``` Support for metadata-based filtering varies between implementations. Check the documentation of your chosen vector store for details. ## Top integrations **Select embedding model:** ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-openai ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-openai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("OPENAI_API_KEY"): os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ") from langchain_openai import OpenAIEmbeddings embeddings = OpenAIEmbeddings(model="text-embedding-3-large") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-azure-ai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("AZURE_OPENAI_API_KEY"): os.environ["AZURE_OPENAI_API_KEY"] = getpass.getpass("Enter API key for Azure: ") from langchain_openai import AzureOpenAIEmbeddings embeddings = AzureOpenAIEmbeddings( azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"], openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"], ) ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-google-genai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("GOOGLE_API_KEY"): os.environ["GOOGLE_API_KEY"] = getpass.getpass("Enter API key for Google Gemini: ") from langchain_google_genai import GoogleGenerativeAIEmbeddings embeddings = GoogleGenerativeAIEmbeddings(model="models/gemini-embedding-001") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-google-vertexai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_google_vertexai import VertexAIEmbeddings embeddings = VertexAIEmbeddings(model="text-embedding-005") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-aws ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_aws import BedrockEmbeddings embeddings = BedrockEmbeddings(model_id="amazon.titan-embed-text-v2:0") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-huggingface ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_huggingface import HuggingFaceEmbeddings embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-ollama ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_ollama import OllamaEmbeddings embeddings = OllamaEmbeddings(model="nomic-embed-text") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-cohere ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("COHERE_API_KEY"): os.environ["COHERE_API_KEY"] = getpass.getpass("Enter API key for Cohere: ") from langchain_cohere import CohereEmbeddings embeddings = CohereEmbeddings(model="embed-english-v3.0") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-mistralai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("MISTRALAI_API_KEY"): os.environ["MISTRALAI_API_KEY"] = getpass.getpass("Enter API key for MistralAI: ") from langchain_mistralai import MistralAIEmbeddings embeddings = MistralAIEmbeddings(model="mistral-embed") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-nomic ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("NOMIC_API_KEY"): os.environ["NOMIC_API_KEY"] = getpass.getpass("Enter API key for Nomic: ") from langchain_nomic import NomicEmbeddings embeddings = NomicEmbeddings(model="nomic-embed-text-v1.5") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-nvidia-ai-endpoints ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("NVIDIA_API_KEY"): os.environ["NVIDIA_API_KEY"] = getpass.getpass("Enter API key for NVIDIA: ") from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings embeddings = NVIDIAEmbeddings(model="NV-Embed-QA") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-voyageai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("VOYAGE_API_KEY"): os.environ["VOYAGE_API_KEY"] = getpass.getpass("Enter API key for Voyage AI: ") from langchain_voyageai import VoyageAIEmbeddings embeddings = VoyageAIEmbeddings(model="voyage-3") ``` For more information, see the [Voyage AI documentation](https://www.mongodb.com/docs/voyageai/models/text-embeddings/). ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-ibm ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("WATSONX_APIKEY"): os.environ["WATSONX_APIKEY"] = getpass.getpass("Enter API key for IBM watsonx: ") from langchain_ibm import WatsonxEmbeddings embeddings = WatsonxEmbeddings( model_id="ibm/slate-125m-english-rtrvr", url="https://us-south.ml.cloud.ibm.com", project_id="", ) ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-core ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_core.embeddings import DeterministicFakeEmbedding embeddings = DeterministicFakeEmbedding(size=4096) ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-xai ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("XAI_API_KEY"): os.environ["XAI_API_KEY"] = getpass.getpass("Enter API key for xAI: ") from langchain.chat_models import init_chat_model model = init_chat_model("grok-2", model_provider="xai") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-perplexity ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("PPLX_API_KEY"): os.environ["PPLX_API_KEY"] = getpass.getpass("Enter API key for Perplexity: ") from langchain.chat_models import init_chat_model model = init_chat_model("llama-3.1-sonar-small-128k-online", model_provider="perplexity") ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-deepseek ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import getpass import os if not os.environ.get("DEEPSEEK_API_KEY"): os.environ["DEEPSEEK_API_KEY"] = getpass.getpass("Enter API key for DeepSeek: ") from langchain.chat_models import init_chat_model model = init_chat_model("deepseek-chat", model_provider="deepseek") ``` **Select vector store:** ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-core ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-core ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_core.vectorstores import InMemoryVectorStore vector_store = InMemoryVectorStore(embeddings) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU boto3 ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from opensearchpy import RequestsHttpConnection service = "es" # must set the service as 'es' region = "us-east-2" credentials = boto3.Session( aws_access_key_id="xxxxxx", aws_secret_access_key="xxxxx" ).get_credentials() awsauth = AWS4Auth("xxxxx", "xxxxxx", region, service, session_token=credentials.token) vector_store = OpenSearchVectorSearch.from_documents( docs, embeddings, opensearch_url="host url", http_auth=awsauth, timeout=300, use_ssl=True, verify_certs=True, connection_class=RequestsHttpConnection, index_name="test-index", ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-astradb ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-astradb ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_astradb import AstraDBVectorStore vector_store = AstraDBVectorStore( embedding=embeddings, api_endpoint=ASTRA_DB_API_ENDPOINT, collection_name="astra_vector_langchain", token=ASTRA_DB_APPLICATION_TOKEN, namespace=ASTRA_DB_NAMESPACE, ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-azure-cosmosdb azure-cosmos ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-azure-cosmosdb azure-cosmos ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_azure_cosmosdb import AzureCosmosDBNoSqlVectorSearch vector_search = AzureCosmosDBNoSqlVectorSearch.from_documents( documents=docs, embedding=openai_embeddings, cosmos_client=cosmos_client, database_name=database_name, container_name=container_name, vector_embedding_policy=vector_embedding_policy, full_text_policy=full_text_policy, indexing_policy=indexing_policy, cosmos_container_properties=cosmos_container_properties, cosmos_database_properties={}, full_text_search_enabled=True, ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-azure-ai pymongo ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add pymongo ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_azure_ai.vectorstores.azure_cosmos_db_mongo_vcore import ( AzureCosmosDBMongoVCoreVectorSearch, ) vectorstore = AzureCosmosDBMongoVCoreVectorSearch.from_documents( docs, openai_embeddings, collection=collection, index_name=INDEX_NAME, ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-chroma ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-chroma ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_chroma import Chroma vector_store = Chroma( collection_name="example_collection", embedding_function=embeddings, persist_directory="./chroma_langchain_db", # Where to save data locally, remove if not necessary ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-cockroachdb ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-cockroachdb ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_cockroachdb import AsyncCockroachDBVectorStore, CockroachDBEngine CONNECTION_STRING = "cockroachdb://user:pass@host:26257/db?sslmode=verify-full" engine = CockroachDBEngine.from_connection_string(CONNECTION_STRING) await engine.ainit_vectorstore_table( table_name="vectors", vector_dimension=1536, ) vector_store = AsyncCockroachDBVectorStore( engine=engine, embeddings=embeddings, collection_name="vectors", ) ``` Install the package and start Elasticsearch locally using the [start-local](https://github.com/elastic/start-local) script: ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-elasticsearch curl -fsSL https://elastic.co/start-local | sh ``` This creates an `elastic-start-local` folder. To start Elasticsearch: ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} cd elastic-start-local ./start.sh ``` Elasticsearch will be available at `http://localhost:9200`. The password for the `elastic` user and API key are stored in the `.env` file in the `elastic-start-local` folder. ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_elasticsearch import ElasticsearchStore vector_store = ElasticsearchStore( index_name="langchain-demo", embedding=embeddings, es_url="http://localhost:9200", ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-milvus ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-milvus ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_milvus import Milvus URI = "./milvus_example.db" vector_store = Milvus( embedding_function=embeddings, connection_args={"uri": URI}, index_params={"index_type": "FLAT", "metric_type": "L2"}, ) ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-mongodb ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_mongodb import MongoDBAtlasVectorSearch vector_store = MongoDBAtlasVectorSearch( embedding=embeddings, collection=MONGODB_COLLECTION, index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME, relevance_score_fn="cosine", ) ``` For more information, see the [MongoDB LangChain integration docs](https://www.mongodb.com/docs/atlas/ai-integrations/langchain/#vector-store). ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-postgres ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-postgres ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_postgres import PGVector vector_store = PGVector( embeddings=embeddings, collection_name="my_docs", connection="postgresql+psycopg://..." ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-postgres ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-postgres ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_postgres import PGEngine, PGVectorStore pg_engine = PGEngine.from_connection_string( url="postgresql+psycopg://..." ) vector_store = PGVectorStore.create_sync( engine=pg_engine, table_name='test_table', embedding_service=embedding ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-pinecone ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-pinecone ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_pinecone import PineconeVectorStore from pinecone import Pinecone pc = Pinecone(api_key=...) index = pc.Index(index_name) vector_store = PineconeVectorStore(embedding=embeddings, index=index) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-qdrant ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-qdrant ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from qdrant_client.models import Distance, VectorParams from langchain_qdrant import QdrantVectorStore from qdrant_client import QdrantClient client = QdrantClient(":memory:") vector_size = len(embeddings.embed_query("sample text")) if not client.collection_exists("test"): client.create_collection( collection_name="test", vectors_config=VectorParams(size=vector_size, distance=Distance.COSINE) ) vector_store = QdrantVectorStore( client=client, collection_name="test", embedding=embeddings, ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-redis ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-redis ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import os from langchain_redis import RedisConfig, RedisVectorStore config = RedisConfig( index_name="my_vectors", redis_url=os.getenv("REDIS_URL", "redis://localhost:6379"), distance_metric="COSINE" ) vector_store = RedisVectorStore(embeddings=embeddings, config=config) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-oracledb ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-oracledb ``` The `langchain-community` package is no longer maintained. Examples that import from `langchain_community` may be outdated or broken. Use with caution. ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import oracledb from langchain_oracledb.vectorstores import OracleVS from langchain_oracledb.vectorstores.oraclevs import create_index from langchain_community.vectorstores.utils import DistanceStrategy username = "" password = "" dsn = ":/" connection = oracledb.connect(user=username, password=password, dsn=dsn) vector_store = OracleVS( client=connection, embedding_function=embedding_model, table_name="VECTOR_SEARCH_DEMO", distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE ) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU langchain-turbopuffer ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-turbopuffer ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_turbopuffer import TurbopufferVectorStore from turbopuffer import Turbopuffer tpuf = Turbopuffer(region="gcp-us-central1") ns = tpuf.namespace("langchain-test") vector_store = TurbopufferVectorStore(embedding=embeddings, namespace=ns) ``` ```bash pip theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} pip install -qU "langchain-aws[valkey]" ``` ```bash uv theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} uv add langchain-aws --extra valkey ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langchain_aws.vectorstores import ValkeyVectorStore vector_store = ValkeyVectorStore( embedding=embeddings, valkey_url="valkey://localhost:6379", index_name="my_index" ) ```
| Vectorstore | Delete by ID | Filtering | Search by Vector | Search with score | Async | Passes Standard Tests | Multi Tenancy | IDs in add Documents | Downloads | | :-------------------------------------------------------------------------------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`ValkeyVectorStore`](/oss/python/integrations/vectorstores/valkey) | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | Downloads per month | | [`DatabricksVectorSearch`](/oss/python/integrations/vectorstores/databricks_vector_search) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`PineconeVectorStore`](/oss/python/integrations/vectorstores/pinecone) | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`MongoDBAtlasVectorSearch`](/oss/python/integrations/vectorstores/mongodb_atlas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`AzureCosmosDBMongoVCoreVectorStore`](/oss/python/integrations/vectorstores/azure_cosmos_db_mongo_vcore) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | Downloads per month | | [`QdrantVectorStore`](/oss/python/integrations/vectorstores/qdrant) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | Downloads per month | | [`Milvus`](/oss/python/integrations/vectorstores/milvus) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`ElasticsearchStore`](/oss/python/integrations/vectorstores/elasticsearch) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`Weaviate`](/oss/python/integrations/vectorstores/weaviate) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | Downloads per month | | [`AstraDBVectorStore`](/oss/python/integrations/vectorstores/astradb) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`Oracle AI Database`](/oss/python/integrations/vectorstores/oracle) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | Downloads per month | | [`RedisVectorStore`](/oss/python/integrations/vectorstores/redis) | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | Downloads per month | | [`AzureCosmosDBNoSqlVectorStore`](/oss/python/integrations/vectorstores/azure_cosmos_db_no_sql) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | Downloads per month | | [`InMemoryVectorStore`](/oss/python/integrations/vectorstores/in_memory) | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | N/A |
## All vector stores
| Vectorstore | Delete by ID | Filtering | Search by Vector | Search with score | Async | Passes Standard Tests | Multi Tenancy | IDs in add Documents | Downloads | | :-------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :--------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`Google bigquery vector search`](/oss/python/integrations/vectorstores/google_bigquery_vector_search) | | | | | | | | | Downloads per month | | [`Google Vertex AI feature`](/oss/python/integrations/vectorstores/google_vertex_ai_feature_store) | | | | | | | | | Downloads per month | | [`Google Vertex AI vector search`](/oss/python/integrations/vectorstores/google_vertex_ai_vector_search) | | | | | | | | | Downloads per month | | [`Amazon memorydb`](/oss/python/integrations/vectorstores/memorydb) | | | | | | | | | Downloads per month | | [`ValkeyVectorStore`](/oss/python/integrations/vectorstores/valkey) | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | Downloads per month | | [`DatabricksVectorSearch`](/oss/python/integrations/vectorstores/databricks_vector_search) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`Chroma`](/oss/python/integrations/vectorstores/chroma) | | | | | | | | | Downloads per month | | [`PGVector`](/oss/python/integrations/vectorstores/pgvector) | | | | | | | | | Downloads per month | | [`PGVectorStore`](/oss/python/integrations/vectorstores/pgvectorstore) | | | | | | | | | Downloads per month | | [`Pinecone (Sparse)`](/oss/python/integrations/vectorstores/pinecone_sparse) | | | | | | | | | Downloads per month | | [`PineconeVectorStore`](/oss/python/integrations/vectorstores/pinecone) | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`MongoDBAtlasVectorSearch`](/oss/python/integrations/vectorstores/mongodb_atlas) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`AzureCosmosDBMongoVCoreVectorStore`](/oss/python/integrations/vectorstores/azure_cosmos_db_mongo_vcore) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | Downloads per month | | [`QdrantVectorStore`](/oss/python/integrations/vectorstores/qdrant) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | Downloads per month | | [`Milvus`](/oss/python/integrations/vectorstores/milvus) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`ElasticsearchStore`](/oss/python/integrations/vectorstores/elasticsearch) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`Weaviate`](/oss/python/integrations/vectorstores/weaviate) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | Downloads per month | | [`Neo4j vector index`](/oss/python/integrations/vectorstores/neo4jvector) | | | | | | | | | Downloads per month | | [`AstraDBVectorStore`](/oss/python/integrations/vectorstores/astradb) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Downloads per month | | [`Oracle AI Database`](/oss/python/integrations/vectorstores/oracle) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | Downloads per month | | [`RedisVectorStore`](/oss/python/integrations/vectorstores/redis) | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | Downloads per month | | [`AzureCosmosDBNoSqlVectorStore`](/oss/python/integrations/vectorstores/azure_cosmos_db_no_sql) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | Downloads per month | | [`Sap hana cloud vector engine`](/oss/python/integrations/vectorstores/sap_hanavector) | | | | | | | | | Downloads per month | | [`Google alloydb for postgresql`](/oss/python/integrations/vectorstores/google_alloydb) | | | | | | | | | Downloads per month | | [`Google firestore`](/oss/python/integrations/vectorstores/google_firestore) | | | | | | | | | Downloads per month | | [`Google spanner`](/oss/python/integrations/vectorstores/google_spanner) | | | | | | | | | Downloads per month | | [`Google cloud SQL for postgresql`](/oss/python/integrations/vectorstores/google_cloud_sql_pg) | | | | | | | | | Downloads per month | | [`AsyncCockroachDBVectorStore`](https://github.com/cockroachdb/langchain-cockroachdb/) | | | | | | | | | Downloads per month | | [`IBM db2 vector store and vector search`](https://github.com/langchain-ai/langchain-ibm/tree/main/libs/langchain-db2) | | | | | | | | | Downloads per month | | [`OceanbaseVectorStore`](https://pypi.org/project/langchain-oceanbase/) | | | | | | | | | Downloads per month | | [`TeradataVectorStore`](https://github.com/Teradata/langchain-teradata) | | | | | | | | | Downloads per month | | [`InfinoVectorStore`](https://infino.ai/docs) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | Downloads per month | | [`SingleStoreVectorStore`](https://docs.singlestore.com/managed-service/en/developer-resources/functional-extensions/working-with-vector-data.html) | | | | | | | | | Downloads per month | | [`PolarDBXVectorStore`](https://github.com/polardb/langchain-polardbx) | | | | | | | | | Downloads per month | | [`YDB`](https://ydb.tech/) | | | | | | | | | Downloads per month | | [`SurrealDBVectorStore`](https://surrealdb.com/docs/cloud/getting-started) | | | | | | | | | Downloads per month | | [`CouchbaseSearchVectorStore`](https://docs.couchbase.com/server/current/vector-search/vector-search.html) | | | | | | | | | Downloads per month | | [`Intel's visual data management system (VDMS)`](https://github.com/IntelLabs/vdms) | | | | | | | | | Downloads per month | | [`SQLServer`](https://learn.microsoft.com/azure/azure-sql/database/ai-artificial-intelligence-intelligent-applications?view=azuresql) | | | | | | | | | Downloads per month | | [`Google memorystore for Redis`](/oss/python/integrations/vectorstores/google_memorystore_redis) | | | | | | | | | Downloads per month | | [`Mariadb`](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference) | | | | | | | | | Downloads per month | | [`MixpeekVectorStore`](https://docs.mixpeek.com/agent-integrations/langchain) | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | Downloads per month | | [`BigtableVectorStore`](https://cloud.google.com/bigtable) | | | | | | | | | Downloads per month | | [`Azure database for postgresql - flexible server`](/oss/python/integrations/vectorstores/azure_db_for_postgresql) | | | | | | | | | Downloads per month | | [`VastDBVectorStore`](https://github.com/vast-data/vast-vector-store) | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ✅ | Downloads per month | | [`openGauss`](https://github.com/mpb159753/langchain-opengauss) | | | | | | | | | Downloads per month | | [`ZeusDB`](https://docs.zeusdb.com) | | | | | | | | | Downloads per month | | [`turbopuffer`](/oss/python/integrations/vectorstores/turbopuffer) | | | | | | | | | Downloads per month | | [`LambdaDB`](https://docs.lambdadb.ai/guides/get-started/quickstart) | | | | | | | | | Downloads per month | | [`PixeltableVectorStore`](https://docs.pixeltable.com/) | | | | | | | | | Downloads per month | | [`Google cloud SQL for mysql`](/oss/python/integrations/vectorstores/google_cloud_sql_mysql) | | | | | | | | | Downloads per month | | [`Kinetica vectorstore`](https://github.com/kineticadb/langchain-kinetica) | | | | | | | | | Downloads per month | | [`Activeloop Deep lake`](https://docs.deeplake.ai/) | | | | | | | | | Downloads per month | | [`Moorcheh`](https://www.moorcheh.ai/) | | | | | | | | | Downloads per month | | [`Vectara`](https://docs.vectara.com/) | | | | | | | | | Downloads per month | | [`Gel`](https://github.com/geldata/langchain-gel) | | | | | | | | | Downloads per month | | [`ChDBVectorStore`](https://github.com/chdb-io/langchain-chdb) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | Downloads per month | | [`Alibaba cloud mysql`](https://github.com/wangkuahai/langchain-alibabacloud-mysql) | | | | | | | | | Downloads per month | | [`Vedb for mysql`](https://www.volcengine.com/docs/6357) | | | | | | | | | Downloads per month | | [`Volcengine rds for mysql`](https://www.volcengine.com/docs/6313) | | | | | | | | | Downloads per month | | [`LindormVectorStore`](https://help.aliyun.com/document_detail/2773369.html) | | | | | | | | | Downloads per month | | [`FAISS`](https://github.com/facebookresearch/faiss) | | | | | | | | | N/A | | [`InMemoryVectorStore`](/oss/python/integrations/vectorstores/in_memory) | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | N/A |
***
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