BoxLang CouchBase Module: Enterprise Caching, Distributed Locking, and AI Vector Memory

Author: Luis Majano

Original post on Foojay: Read More

Table of Contents

Couchbase + BoxLang: A High-Performance Combination🚀 Enterprise-Grade Distributed Caching🔐 True Distributed Locking for Mission-Critical Workloads

🤖 AI Vector Memory for BoxLang Agents

🛠 Direct Couchbase SDK Access📦 Session Storage Backed by Couchbase

Ortus Solutions is thrilled to announce the official release of bx-couchbase v1.0, a groundbreaking module that brings native enterprise-grade Couchbase capabilities to the BoxLang language and ecosystem. Designed for modern distributed applications, bx-couchbase unifies high-performance caching, resilient distributed locking, and advanced AI vector memory—empowering developers to build scalable, intelligent, fault-tolerant systems with unprecedented ease.

Couchbase + BoxLang: A High-Performance Combination

Couchbase is more than a database—it’s a distributed NoSQL platform engineered for speed, flexibility, and global scale. With sub-millisecond key-value operations, built-in vector search, and multi-data-center support, it is the ideal foundation for next-generation AI-powered applications.

The new bx-couchbase v1.0 module exposes all this power through an elegant, intuitive, and fully integrated BoxLang API. Not only that, it is fully documented.

📘 Documentation:
https://boxlang.ortusbooks.com/boxlang-framework/boxlang-plus/modules/bx-couchbase

WHAT’S IN bx-couchbase v1.0

🚀 Enterprise-Grade Distributed Caching

bx-couchbase introduces a complete cache provider with replication, fault tolerance, TTL support, scopes, and collections—all optimized for BoxLang. You can easily leverage any bucket, scope or collection as a BoxLang native Cache, even store all your session scope and distribute it.

cache("default").set("user:123", {
    name: "Alice Smith",
    email: "alice@example.com",
    role: "admin"
} )

user = cache("default").get("user:123")
    .orElseGet( () => loadUserFromDatabase(123) )

Highlights:

  • Sub-millisecond read/write operations
  • Automatic replication and failover
  • Built-in TTL support
  • Logical grouping via scopes & collections
  • First-class integration with BoxLang caching APIs

🔐 True Distributed Locking for Mission-Critical Workloads

bx-couchbase v1.0 delivers robust distributed locking—ideal for financial transactions, inventory control, batch operations, and high-traffic systems. It has introduced a semantic component to give you locking capabilities into Couchbase. You can also use the functional approach as well.

Component-Based Locking (Recommended)

bx:couchbaseLock
    name="payment-#orderId#"
    cache="default"
    timeout="5"
    expires="30"{

    charge = getPaymentInfo( orderId )
    result = processCharge( charge )
    updateOrderStatus( orderId, "paid" )

}

Callback-Based Locking

result = couchbaseLock(
    cacheName = "default",
    name = "inventory-#productId#",
    timeout = 5,
    expires = 30,
    callback = () => {
        stock = getStock( productId )
        if (stock.quantity >= orderQty) {
            stock.quantity -= orderQty
            saveStock(productId, stock)
            return { success: true }
        }
        return { success: false, error: "Insufficient stock" }
    }
)

Real-World Use Cases:

  • 💰 Payment processing
  • 📦 Inventory control
  • 🔄 Batch job coordination
  • 👤 Serialized user updates
  • 🎫 Ticketing & reservation systems

🤖 AI Vector Memory for BoxLang Agents

A major highlight of v1.0 is deep integration with the bx-ai v2 module, enabling Couchbase-backed vector memory for AI agents, chatbots, and RAG pipelines.

Example: Persistent Vector-Powered Memory

memory = aiMemory( "cache", {
    cacheName: "couchbase_ai_memory",
    scope: "ai",
    collection: "conversations",
    embeddingProvider: "openai",
    embeddingModel: "text-embedding-3-small"
})

agent = aiAgent(
    name: "Customer Support Bot",
    instructions: "You are a helpful customer support agent",
    memory: memory,
    model: aiModel( "openai" )
);

response = agent.run( "What did we discuss about billing?" )

Multi-Tenant Isolation

Each user and conversation remains fully isolated:

aliceMemory = aiMemory( "cache",
    userId: "alice",
    conversationId: "support-123",
    config: { cacheName: "ai_memory" }
)

Hybrid Memory Model

Combine short-term recency + long-term semantic search:

memory = aiMemory( "hybrid", {
    window: { type: "windowed", size: 10 },
    vector: {
        type: "cache",
        cacheName: "ai_memory",
        limit: 5
    }
})

AI Features:

  • Meaning-based semantic search
  • User & conversation isolation
  • Persistent, scalable vector storage
  • Hybrid search models
  • Support for OpenAI, Cohere, Voyage & more

🛠️ Direct Couchbase SDK Access

For advanced use cases, developers can directly access Couchbase Java SDK primitives but with many dynamic features and automatic serialization/deserialization, and casting.

cluster = couchbaseGetCluster("default")
collection = couchbaseGetCollection("default")

result = collection.query("
    SELECT * FROM myapp
    WHERE type = 'user'
    LIMIT 100
")

📦 Session Storage Backed by Couchbase

// Application.bx
this.sessionStorage = "couchbase"

session.user = userObject;

PERFORMANCE & SCALING

  • Sub-millisecond KV speed
  • Automatic sharding
  • Replication & HA built-in
  • Memory-first architecture
  • Global multi-cluster support

GETTING STARTED

Install BoxLang OS, or chose a web runtime, then install the couchbase module. (www.boxlang.io)

Installation

install-bx-module bx-couchbase
# or
box install bx-couchbase

Quick App Configuration

this.caches[ "default" ] = {
    provider: "Couchbase",
    properties: {
        connectionString: "couchbase://localhost",
        username: "Administrator",
        password: "password",
        bucket: "myapp",
        scope: "_default",
        collection: "_default"
    }
}

REAL-WORLD APPLICATIONS

E-Commerce Inventory Protection

function reserveProduct( productId, quantity ) {
    return couchbaseLock(
        cacheName = "default",
        name = "inventory-#productId#",
        timeout = 5,
        expires = 10,
        callback = () => { ... }
    )
}

AI-Powered Customer Support

agent = aiAgent(...)
return agent.run(message)

Financial Transaction Processing

couchbaseLock("default", "payment-#orderId#", 5, 30, () => { ... })

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