Powering Enterprise-Ready Agentic AI with Security, Governance, and End-to-End Innovation
As we announce the General Availability of Couchbase AI Services, we’re also taking a significant step toward enabling enterprise-grade agentic AI by growing and developing the Couchbase AI Partner Ecosystem. Enterprises know that building AI agents is no longer just about choosing a LLM. Delivering production-grade agentic AI requires secure access to high-quality data, the ability to process both structured and unstructured information, continuous evaluation and observability, and scalable orchestration across events, applications, and devices. It also demands strong governance to meet regulatory, privacy, and compliance requirements.
This is why an ecosystem matters. No single vendor can deliver all the capabilities needed to build, deploy, and manage enterprise AI agents. Couchbase AI Services provides the foundation by co-locating models and operational data, delivering millisecond-level retrieval, and offering built-in vector search, semantic caching, and model hosting. Our ecosystem partners extend this foundation with specialized capabilities across the agentic AI lifecycle. Today we’re highlighting five launch partners, NVIDIA, Unstructured, Confluent, Arize, and K2view, each playing an essential role in enabling secure, scalable, and trustworthy agentic AI systems.
NVIDIA: Bringing Enterprise-Grade Inference to Your Data with NIM Microservices
Couchbase AI Services integrates directly with NVIDIA NIM inference microservices, allowing enterprises to run high-performance LLMs inside their own VPC, right next to their operational and vector data. This co-location eliminates data movement over public networks and provides:
- Low-latency inference for real-time agents
- Strong data security, with models and data protected inside customer environments
- Optimized GPU performance using NVIDIA’s validated NIM containers
- Choice and flexibility, with support for models such as Llama 3.1, Nemotron, and domain-specific NIMs
By combining NVIDIA’s accelerated inference platform with Couchbase’s distributed database and vector store, customers can build agents that reason, retrieve, and act at production scale.
Unstructured: Turning Documents, Files, and Web Content into LLM-Ready Context
Most enterprise AI challenges begin with the ingestion of unstructured data such as PDFs, Office files, HTML, emails, regulatory documents, logs, and more. No estructurado solves this problem efficiently and accurately. With Unstructured’s document processing and extraction pipeline integrated with Couchbase AI Services:
- Customers can ingest large volumes of unstructured content with automated parsing and cleansing
- Domain-relevant text is chunked, normalized, and prepared for embedding
- Embeddings are stored directly in the Couchbase vector store, creating a unified context layer for RAG and agentic workflows
This makes Couchbase the context platform for enterprise AI applications, enabling agents to recall information across every modality while eliminating the complexity of building or maintaining custom ETL code. For step-by-step instructions on how to setup the Couchbase connector with Unstructured pulse aquí.
Confluent: Streaming Agents Powered by Real-Time Context from Couchbase
Agentic AI is increasingly event-driven. Enterprises want agents that react to customer actions, operational events, and system signals in real time. Confluent’s recently introduced Streaming Agents, built on managed Apache Kafka® and Apache Flink®, provides a powerful foundation for this new architectural pattern.
Couchbase plays a key role by serving as both:
- The real-time context platform, providing fresh operational and vector data to agents
- A stateful memory layer, ensuring agents can reason over historical context
- One of the vector databases Confluent Cloud can query through read-only external tables
Together, Couchbase and Confluent enable developers to orchestrate event-driven agents that respond to dynamic inputs, enrich messages with contextual grounding, and maintain consistent state across an entire multi-agent workflow. To know more about real-time agentic AI with Streaming Agents on Confluent Cloud and Couchbase pulse aquí.
Arize: Observability, Evaluation, and Trust for Agentic AI
As enterprises scale AI agents into production, evaluation and observability become critical. Without visibility into model behavior, drift, hallucinations, tool-use failures, or retrieval quality, agentic systems cannot meet enterprise trust and governance requirements.
Con Arize, organizations gain:
- Automated evaluation pipelines for agentic tasks
- Trace-level visibility into model decisions and tool invocations
- Monitoring for embedding quality, RAG recall, hallucination rates, and response fidelity
- Governance and scoring frameworks aligned with enterprise AI standards
Arize complements Couchbase’s memory and context layer by helping teams verify that their agents behave as intended and proving it with measurable evidence. To learn more about trustworthy, production-ready AI agent applications pulse aquí.
K2view: Synthetic Data Generation to Accelerate the AI Lifecycle
Synthetic data is becoming essential for enterprise AI, especially when real data is limited, sensitive, or imbalanced. K2view brings advanced synthetic data generation powered by the operational data already stored in Couchbase.
Enterprises can use this synthetic data to:
- Create high-quality training sets while masking sensitive fields
- Produce balanced evaluation datasets to rigorously test agents
- Generate domain-specific ground truth for fine-tuning LLMs
- Accelerate experimentation without risking exposure of real customer data
Synthetic data is rapidly becoming a foundational building block for responsible AI. By integrating with Couchbase, K2view ensures customers can generate this data securely, privately, and continuously throughout the agentic lifecycle. For more information on how to use synthetic data to build AI applications pulse aquí.
Powering the Future of Enterprise Agentic AI
The continued growth of the Couchbase AI Partner Ecosystem is key to bringing agentic AI to the enterprise. Alongside these partners, Couchbase AI Services is supported by robust integrations with top cloud AI platforms and developer tools. Customers can integrate seamlessly with AWS Bedrock and Google Vertex AI, and developers on Google Cloud can take advantage of the new Google MCP Toolbox integration to accelerate agent development using Model Context Protocol. Couchbase also supports popular AI application development frameworks, including LangChain, LlamaIndex, and CrewAI, ensuring developers can build with the tools and frameworks they already know. For a full overview of supported integrations across frameworks, cloud platforms, and developer tools, visit the Couchbase Developer Integrations página.
This ecosystem reflects our commitment to empowering developers and enterprises with the tools they need to turn AI concepts into real, high-impact applications.
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