Enterprise Databases

Enterprise vector database components provide scalable, production-ready vector storage solutions with advanced features for large-scale deployments.

Elasticsearch

Elasticsearch provides vector search capabilities with its dense vector field type and kNN search functionality.

Usage

Elasticsearch vector features:

• Distributed vector search

• Hybrid search capabilities

• Real-time indexing

• Advanced analytics

• Enterprise security

Inputs

Name	Display Name	Info
host	Host	Elasticsearch cluster host
port	Port	Elasticsearch port (default: 9200)
index_name	Index Name	Name of the vector index
username	Username	Authentication username
password	Password	Authentication password

Outputs

Name	Display Name	Info
vector_store	Vector Store	Configured Elasticsearch vector store

Opensearch

OpenSearch offers vector search capabilities with k-NN plugin for similarity search operations.

Usage

OpenSearch capabilities:

• Open-source vector search

• k-NN algorithm support

• Distributed architecture

• Security features

• Performance optimization

Inputs

Name	Display Name	Info
endpoint	Endpoint	OpenSearch cluster endpoint
index_name	Index Name	Vector index name
credentials	Credentials	Authentication credentials
ssl_verify	SSL Verify	Whether to verify SSL certificates

Outputs

Name	Display Name	Info
vector_store	Vector Store	Configured OpenSearch vector store

MongoDB Atlas

MongoDB Atlas provides vector search capabilities through its Atlas Search service with vector embeddings.

Usage

MongoDB Atlas features:

• Integrated vector search

• Document database benefits

• Global cloud deployment

• Automatic scaling

• Advanced indexing

Inputs

Name	Display Name	Info
connection_string	Connection String	MongoDB Atlas connection string
database_name	Database Name	Database name
collection_name	Collection Name	Collection for vector storage
index_name	Index Name	Vector search index name

Outputs

Name	Display Name	Info
vector_store	Vector Store	Configured MongoDB Atlas vector store

Clickhouse

ClickHouse provides high-performance vector operations for analytical workloads and large-scale vector processing.

Usage

ClickHouse vector capabilities:

• High-performance analytics

• Columnar storage

• Massive scale processing

• Real-time queries

• Advanced compression

Inputs

Name	Display Name	Info
host	Host	ClickHouse server host
port	Port	ClickHouse port (default: 9000)
database	Database	Database name
table_name	Table Name	Table for vector storage
username	Username	Authentication username
password	Password	Authentication password

Outputs

Name	Display Name	Info
vector_store	Vector Store	Configured ClickHouse vector store

Couchbase

Couchbase provides vector search capabilities through its Full Text Search service with vector support.

Usage

Couchbase features:

• NoSQL flexibility

• Vector search integration

• Multi-model database

• Global deployment

• Mobile synchronization

Inputs

Name	Display Name	Info
cluster_url	Cluster URL	Couchbase cluster URL
bucket_name	Bucket Name	Bucket for vector storage
username	Username	Authentication username
password	Password	Authentication password
index_name	Index Name	Search index name

Outputs

Name	Display Name	Info
vector_store	Vector Store	Configured Couchbase vector store

Enterprise Features

Security & Compliance

• Authentication: Multi-factor authentication support

• Authorization: Role-based access control

• Encryption: Data encryption at rest and in transit

• Audit Logging: Comprehensive audit trails

• Compliance: SOC 2, GDPR, HIPAA compliance

Performance & Scalability

• Horizontal Scaling: Distributed architecture

• Load Balancing: Automatic load distribution

• Caching: Multi-level caching strategies

• Optimization: Query optimization and indexing

• Monitoring: Real-time performance monitoring

High Availability

• Replication: Multi-region replication

• Failover: Automatic failover mechanisms

• Backup: Automated backup and recovery

• Disaster Recovery: Business continuity planning

• SLA: Enterprise-grade service level agreements

Usage Notes

• Production Ready: Enterprise-grade reliability and performance

• Scalability: Handle massive datasets and high query volumes

• Integration: Seamless integration with existing enterprise systems

• Support: Professional support and consulting services

• Flexibility: Multiple deployment options (cloud, on-premise, hybrid)

• Cost Management: Transparent pricing and cost optimization tools