Production-Ready AI Agents
Building agentic AI applications that can make real business decisions is a complex undertaking. Developers often find themselves juggling multiple disparate tools to manage different data types, ensure data privacy, and maintain control over a rapidly evolving AI stack. This fragmentation creates significant operational and financial risk and architectural complexity, keeping powerful AI applications stuck in the prototype phase.
Today, we are excited to announce the availability of Capella AI Services, a suite of capabilities that extend our database platform and are designed to solve these challenges. Capella with AI Services creates a single unified AI database platform enabling enterprises to build, deploy, and govern agentic AI applications with the security, performance, and reliability required for production environments. By integrating data management, model integration, agentic operations and governance within our core database platform, Couchbase streamlines the entire AI application data life cycle.
This post will explore how Capella AI Services empower you to move beyond experimentation and deploy intelligent, trustworthy agents at scale.
From Experiment to Enterprise: A Unified Database Platform for AI
Developers struggle to move agentic applications into production for several reasons. Privacy concerns with third-party LLMs, hallucinations from general-purpose models lacking enterprise context, the mysterious costs of running models in production, and the sheer complexity of managing AI tools are compounding challenges. Also, integrating diverse knowledge stores, data types and unstructured data across multiple systems is a major hurdle in offering usable context information to models.
Couchbase addresses these issues with a unified platform that handles operational, vector, caching, analytic, and agent governance data all at once, and at scale. This approach eliminates the need for fragmented, frail, and expensive architectures with more tools than you can count using both hands. The benefits include reduced latency, improved system trustworthiness, a streamlined Retrieval-Augmented Generation (RAG) data life cycle, improved agent governance, and better cost transparency.
Everything Developers Need in One Place
Capella AI Services provide a complete toolkit to simplify and accelerate the development of agentic applications. Let’s look at the core components that make this possible.
Serviço de modelo
Security and performance are paramount when deploying AI models. Our Model Service allows for the secure deployment of embedding and large language models. Through our partnership with NVIDIA AI Enterprise, you can leverage GPU-accelerated, low-latency inference that keeps models co-located with your data. This architecture minimizes security exposure and maximizes performance. Furthermore, our built-in semantic caching and async processing options improve the performance and efficiency of the LLM. Deployments are also streamlined with a few clicks. Additionally, developers can create “guardrails” around AI interactions, verifying outputs against enterprise data and business rules before any subsequent action is executed, reducing risks of unexpected behaviors.
Data Processing Service
Preparing contextual enterprise data for AI interactions is often complex. The Data Processing Service provides native support for structured, semi-structured, and unstructured data. It includes built-in RAG pipeline capabilities for preprocessing, chunking, and vectorization, removing a significant layer of complexity from your development workflow. Teams no longer need to write and maintain custom code for data ingestion. Now it can be automated in minutes.
Contextually accurate AI responses depend on effective vector search. Our Vectorization Service automates the creation of vectors and their indexes directly from your operational data, ensuring your AI agents have fast access to the right information. As data changes, vectors and indexes are automatically updated. We offer three styles of vector indexing, to support a variety of RAG and agentic use cases.
- The Search Vector Index is used when vectors are included inline within a query that contains other predicates such as search keywords or geographic coordinates.
- The Composite Vector Index is useful when your developers control all prompt and context variables.
- The Hyperscale Vector Index is a record-setting, billion-scale vector index for supporting wide use cases such as knowledge chat-bots where prompt questions are difficult to anticipate, and therefore a giant corpus of contextual data must be vectorized.
These three vector indexing features are already built into the Couchbase database, and can be utilized with AI Services.
Catálogo de agentes
Governance is key to building trustworthy AI. The Agent Catalog offers a Tool Hub, Prompt Hub, and Agent Tracer to make agents easier to build, and easier to manage. These features provide visibility, control, and traceability for agent development and deployment. Your teams can build agents with confidence, knowing they can be audited and managed effectively.
Without the ability to back-trace agent behavior, it becomes impossible to automate the ongoing trust, validation and corroboration of the autonomous decisions made by agents. In the Agent Catalog, this is performed by evaluating both the agentic code and its conversation transcript with its LLM to assess the appropriateness of its pending decision or MCP tool lookup.
Funções de IA
Embedding AI-driven analysis of text directly into your application workflows accelerates developer productivity. Our AI Functions work by using simple SQL++ statements and eliminate the need for external tooling and custom coding. You can perform transformations, execute complex analysis, and gain insights regarding LLM conversations using familiar query language constructs, right within the database.
Building Trust into Every AI Interaction
For organizations to deploy autonomous agents, they need assurance that these agents will make reliable decisions with sensitive data. Capella AI Services are built to help organizations build trustable GenAI at scale. Our Agent catalog allows you to deploy AI agents confidently, knowing detailed interactions can be traced and audited. By keeping your data and models within your environment, you maintain complete control over your most sensitive information while still leveraging the power of generative AI.
Get Started with Capella and AI Services
The path from AI prototype to a production-ready agentic application no longer needs to be a complex and fragmented journey. Couchbase Capella provides a unified, secure, and high-performance platform to build the next generation of intelligent applications. By simplifying the AI development lifecycle and integrating powerful governance capabilities, we empower you to innovate faster and deploy AI with confidence.
Explore the documentation and see how you can start building production agentic applications on a platform designed for the demands of GenAI.
Confira estes recursos relacionados:
- Página de serviços de IA
- Página do Couchbase Capella
- Página de pesquisa de vetores
- Documentation: AI Services
