Vector stores

A vector store stores embedded data and performs similarity search.

Select embedding model:

pip install -qU langchain-openai

import getpass

os.environ["OPENAI_API_KEY"] = getpass.getpass()

from langchain_openai import OpenAIEmbeddings

embeddings = OpenAIEmbeddings(model="text-embedding-3-large")

pip install -qU langchain-openai

import getpass

os.environ["AZURE_OPENAI_API_KEY"] = getpass.getpass()

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"],
)

pip install -qU langchain-google-vertexai

from langchain_google_vertexai import VertexAIEmbeddings

embeddings = VertexAIEmbeddings(model="text-embedding-004")

pip install -qU langchain-aws

from langchain_aws import BedrockEmbeddings

embeddings = BedrockEmbeddings(model_id="amazon.titan-embed-text-v2:0")

pip install -qU langchain-huggingface

from langchain_huggingface import HuggingFaceEmbeddings

embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")

pip install -qU langchain-ollama

from langchain_ollama import OllamaEmbeddings

embeddings = OllamaEmbeddings(model="llama3")

pip install -qU langchain-cohere

import getpass

os.environ["COHERE_API_KEY"] = getpass.getpass()

from langchain_cohere import CohereEmbeddings

embeddings = CohereEmbeddings(model="embed-english-v3.0")

pip install -qU langchain-mistralai

import getpass

os.environ["MISTRALAI_API_KEY"] = getpass.getpass()

from langchain_mistralai import MistralAIEmbeddings

embeddings = MistralAIEmbeddings(model="mistral-embed")

pip install -qU langchain-nomic

import getpass

os.environ["NOMIC_API_KEY"] = getpass.getpass()

from langchain_nomic import NomicEmbeddings

embeddings = NomicEmbeddings(model="nomic-embed-text-v1.5")

pip install -qU langchain-nvidia-ai-endpoints

import getpass

os.environ["NVIDIA_API_KEY"] = getpass.getpass()

from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings

embeddings = NVIDIAEmbeddings(model="NV-Embed-QA")

pip install -qU langchain-core

from langchain_core.embeddings import DeterministicFakeEmbedding

embeddings = DeterministicFakeEmbedding(size=4096)

Select vector store:

pip install -qU langchain-core

from langchain_core.vectorstores import InMemoryVectorStore

vector_store = InMemoryVectorStore(embeddings)

pip install -qU langchain-astradb

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,
)

pip install -qU langchain-chroma

from langchain_chroma import Chroma

vector_store = Chroma(embedding_function=embeddings)

pip install -qU langchain-community

from langchain_community.vectorstores import FAISS

vector_store = FAISS(embedding_function=embeddings)

pip install -qU langchain-milvus

from langchain_milvus import Milvus

vector_store = Milvus(embedding_function=embeddings)

pip install -qU langchain-mongodb

from langchain_mongodb import MongoDBAtlasVectorSearch

vector_store = MongoDBAtlasVectorSearch(
    embedding=embeddings,
    collection=MONGODB_COLLECTION,
    index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,
    relevance_score_fn="cosine",
)

pip install -qU langchain-postgres

from langchain_postgres import PGVector

vector_store = PGVector(
    embedding=embeddings,
    collection_name="my_docs",
    connection="postgresql+psycopg://...",
)

pip install -qU langchain-pinecone

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)

pip install -qU langchain-qdrant

from langchain_qdrant import QdrantVectorStore
from qdrant_client import QdrantClient

client = QdrantClient(":memory:")
vector_store = QdrantVectorStore(
    client=client,
    collection_name="test",
    embedding=embeddings,
)

Vectorstore	Delete by ID	Filtering	Search by Vector	Search with score	Async	Passes Standard Tests	Multi Tenancy	IDs in add Documents
AstraDBVectorStore	✅	✅	✅	✅	✅	❌	❌	❌
Chroma	✅	✅	✅	✅	✅	❌	❌	❌
Clickhouse	✅	✅	❌	✅	❌	❌	❌	❌
CouchbaseVectorStore	✅	✅	❌	✅	✅	❌	❌	❌
DatabricksVectorSearch	✅	✅	✅	✅	✅	❌	❌	❌
ElasticsearchStore	✅	✅	✅	✅	✅	❌	❌	❌
FAISS	✅	✅	✅	✅	✅	❌	❌	❌
InMemoryVectorStore	✅	✅	❌	✅	✅	❌	❌	❌
Milvus	✅	✅	❌	✅	✅	❌	❌	❌
MongoDBAtlasVectorSearch	✅	✅	✅	✅	✅	❌	❌	❌
PGVector	✅	✅	✅	✅	✅	❌	❌	❌
PineconeVectorStore	✅	✅	✅	❌	✅	❌	❌	❌
QdrantVectorStore	✅	✅	✅	✅	✅	❌	❌	❌
Redis	✅	✅	✅	✅	✅	❌	❌	❌
Weaviate	✅	✅	✅	✅	✅	❌	✅	❌
SQLServer	✅	✅	✅	✅	❌	❌	❌	❌

All Vectorstores

Name	Description
Activeloop Deep Lake	Activeloop Deep Lake as a Multi-Modal Vector Store that stores embedd...
Aerospike	Aerospike Vector Search (AVS) is an
Alibaba Cloud OpenSearch	Alibaba Cloud Opensearch is a one-stop platform to develop intelligen...
AnalyticDB	AnalyticDB for PostgreSQL is a massively parallel processing (MPP) da...
Annoy	Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with P...
Apache Doris	Apache Doris is a modern data warehouse for real-time analytics.
ApertureDB	ApertureDB is a database that stores, indexes, and manages multi-moda...
Astra DB Vector Store	This page provides a quickstart for using Astra DB as a Vector Store.
Atlas	Atlas is a platform by Nomic made for interacting with both small and...
AwaDB	AwaDB is an AI Native database for the search and storage of embeddin...
Azure Cosmos DB Mongo vCore	This notebook shows you how to leverage this integrated vector databa...
Azure Cosmos DB No SQL	This notebook shows you how to leverage this integrated vector databa...
Azure AI Search	Azure AI Search (formerly known as Azure Search and Azure Cognitive S...
Bagel	Bagel (Open Inference platform for AI), is like GitHub for AI data.
BagelDB	BagelDB (Open Vector Database for AI), is like GitHub for AI data.
Baidu Cloud ElasticSearch VectorSearch	Baidu Cloud VectorSearch is a fully managed, enterprise-level distrib...
Baidu VectorDB	Baidu VectorDB is a robust, enterprise-level distributed database ser...
Apache Cassandra	This page provides a quickstart for using Apache Cassandra® as a Vect...
Chroma	This notebook covers how to get started with the Chroma vector store.
Clarifai	Clarifai is an AI Platform that provides the full AI lifecycle rangin...
ClickHouse	ClickHouse is the fastest and most resource efficient open-source dat...
Couchbase	Couchbase is an award-winning distributed NoSQL cloud database that d...
DashVector	DashVector is a fully-managed vectorDB service that supports high-dim...
Databricks	Databricks Vector Search is a serverless similarity search engine tha...
DingoDB	DingoDB is a distributed multi-mode vector database, which combines t...
DocArray HnswSearch	DocArrayHnswSearch is a lightweight Document Index implementation pro...
DocArray InMemorySearch	DocArrayInMemorySearch is a document index provided by Docarray that ...
Amazon Document DB	Amazon DocumentDB (with MongoDB Compatibility) makes it easy to set u...
DuckDB	This notebook shows how to use DuckDB as a vector store.
China Mobile ECloud ElasticSearch VectorSearch	China Mobile ECloud VectorSearch is a fully managed, enterprise-level...
Elasticsearch	Elasticsearch is a distributed, RESTful search and analytics engine, ...
Epsilla	Epsilla is an open-source vector database that leverages the advanced...
Faiss	Facebook AI Similarity Search (FAISS) is a library for efficient simi...
Faiss (Async)	Facebook AI Similarity Search (Faiss) is a library for efficient simi...
Google AlloyDB for PostgreSQL	AlloyDB is a fully managed relational database service that offers hi...
Google BigQuery Vector Search	Google Cloud BigQuery Vector Search lets you use GoogleSQL to do sema...
Google Cloud SQL for MySQL	Cloud SQL is a fully managed relational database service that offers ...
Google Cloud SQL for PostgreSQL	Cloud SQL is a fully managed relational database service that offers ...
Firestore	Firestore is a serverless document-oriented database that scales to m...
Google Memorystore for Redis	Google Memorystore for Redis is a fully-managed service that is power...
Google Spanner	Spanner is a highly scalable database that combines unlimited scalabi...
Google Vertex AI Feature Store	Google Cloud Vertex Feature Store streamlines your ML feature managem...
Google Vertex AI Vector Search	This notebook shows how to use functionality related to the Google Cl...
Hippo	Transwarp Hippo is an enterprise-level cloud-native distributed vecto...
Hologres	Hologres is a unified real-time data warehousing service developed by...
Infinispan	Infinispan is an open-source key-value data grid, it can work as sing...
Jaguar Vector Database	1. It is a distributed vector database
KDB.AI	KDB.AI is a powerful knowledge-based vector database and search engin...
Kinetica	Kinetica is a database with integrated support for vector similarity ...
LanceDB	LanceDB is an open-source database for vector-search built with persi...
Lantern	Lantern is an open-source vector similarity search for Postgres
LLMRails	LLMRails is a API platform for building GenAI applications. It provid...
ManticoreSearch VectorStore	ManticoreSearch is an open-source search engine that offers fast, sca...
Marqo	This notebook shows how to use functionality related to the Marqo vec...
Meilisearch	Meilisearch is an open-source, lightning-fast, and hyper relevant sea...
Amazon MemoryDB	Vector Search introduction and langchain integration guide.
Milvus	Milvus is a database that stores, indexes, and manages massive embedd...
Momento Vector Index (MVI)	MVI: the most productive, easiest to use, serverless vector index for...
MongoDB Atlas	This notebook covers how to MongoDB Atlas vector search in LangChain,...
MyScale	MyScale is a cloud-based database optimized for AI applications and s...
Neo4j Vector Index	Neo4j is an open-source graph database with integrated support for ve...
NucliaDB	You can use a local NucliaDB instance or use Nuclia Cloud.
OpenSearch	OpenSearch is a scalable, flexible, and extensible open-source softwa...
Oracle AI Vector Search: Vector Store	Oracle AI Vector Search is designed for Artificial Intelligence (AI) ...
Pathway	Pathway is an open data processing framework. It allows you to easily...
Postgres Embedding	Postgres Embedding is an open-source vector similarity search for Pos...
PGVecto.rs	This notebook shows how to use functionality related to the Postgres ...
PGVector	An implementation of LangChain vectorstore abstraction using postgres...
Pinecone	Pinecone is a vector database with broad functionality.
Qdrant	Qdrant (read: quadrant ) is a vector similarity search engine. It pro...
Redis	This notebook covers how to get started with the Redis vector store.
Relyt	Relyt is a cloud native data warehousing service that is designed to ...
Rockset	Rockset is a real-time search and analytics database built for the cl...
SAP HANA Cloud Vector Engine	SAP HANA Cloud Vector Engine is a vector store fully integrated into ...
ScaNN	ScaNN (Scalable Nearest Neighbors) is a method for efficient vector s...
SemaDB	SemaDB from SemaFind is a no fuss vector similarity database for buil...
SingleStoreDB	SingleStoreDB is a robust, high-performance distributed SQL database ...
scikit-learn	scikit-learn is an open-source collection of machine learning algorit...
SQLiteVec	This notebook covers how to get started with the SQLiteVec vector sto...
SQLite-VSS	SQLite-VSS is an SQLite extension designed for vector search, emphasi...
SQLServer	Azure SQL provides a dedicated Vector data type that simplifies the c...
StarRocks	StarRocks is a High-Performance Analytical Database.
Supabase (Postgres)	Supabase is an open-source Firebase alternative. Supabase is built on...
SurrealDB	SurrealDB is an end-to-end cloud-native database designed for modern ...
TablestoreVectorStore	Tablestore is a fully managed NoSQL cloud database service that enabl...
Tair	Tair is a cloud native in-memory database service developed by Alibab...
Tencent Cloud VectorDB	Tencent Cloud VectorDB is a fully managed, self-developed, enterprise...
ThirdAI NeuralDB	NeuralDB is a CPU-friendly and fine-tunable vector store developed by...
TiDB Vector	TiDB Cloud, is a comprehensive Database-as-a-Service (DBaaS) solution...
Tigris	Tigris is an open-source Serverless NoSQL Database and Search Platfor...
TileDB	TileDB is a powerful engine for indexing and querying dense and spars...
Timescale Vector (Postgres)	Timescale Vector is PostgreSQL++ vector database for AI applications.
Typesense	Typesense is an open-source, in-memory search engine, that you can ei...
Upstash Vector	Upstash Vector is a serverless vector database designed for working w...
USearch	USearch is a Smaller & Faster Single-File Vector Search Engine
Vald	Vald is a highly scalable distributed fast approximate nearest neighb...
Intel's Visual Data Management System (VDMS)	Intel's VDMS is a storage solution for efficient access of big-”visua...
Vearch	Vearch is the vector search infrastructure for deeping learning and A...
Vectara	Vectara is the trusted AI Assistant and Agent platform which focuses ...
Vespa	Vespa is a fully featured search engine and vector database. It suppo...
viking DB	viking DB is a database that stores, indexes, and manages massive emb...
vlite	VLite is a simple and blazing fast vector database that allows you to...
Weaviate	This notebook covers how to get started with the Weaviate vector stor...
Xata	Xata is a serverless data platform, based on PostgreSQL. It provides ...
Yellowbrick	Yellowbrick is an elastic, massively parallel processing (MPP) SQL da...
Zep	Recall, understand, and extract data from chat histories. Power perso...
Zep Cloud	Recall, understand, and extract data from chat histories. Power perso...
Zilliz	Zilliz Cloud is a fully managed service on cloud for LF AI Milvus®,

All Vectorstores​

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All Vectorstores