Generative AI (GenAI) is transforming how businesses operate, innovate and communicate with their customers. Enterprises are racing to make GenAI applications production-ready, putting developers under more pressure than ever to churn out releases. At Couchbase, we’re committed to empowering developers to build critical applications with unmatched speed and simplicity by offering the most developer-friendly data platform. Together with our robust AI partner ecosystem, Couchbase delivers the developer data platform for critical applications in our AI world. As the leading NoSQL data platform, Couchbase enables the development of intelligent, important, agentic applications that scale across cloud and edge environments–connected or disconnected.

Retrieval-augmented generation (RAG) is emerging as a critical approach for enterprises looking to leverage GenAI with their proprietary data. Couchbase, with its multipurpose Capella DBaaS and vector search capabilities, is an essential partner in providing the foundation for efficient and reliable GenAI applications. Through our growing AI ecosystem and AI Accelerate Program, new and recently introduced integrations with Amazon Bedrock, Azure OpenAI, Google Vertex AI, Haystack, LangChain, LlamaIndex, NVIDIA NIM/NeMo, Unstructured.io, Vectorize and others empower customers to more easily develop enterprise-class, RAG-based solutions and meet their specific deployment needs. Our partners are critical to the success of joint customers and help to accelerate development, with Couchbase as the foundational database platform.

Supercharge GenAI Apps: Real-time, Personalized Experiences with Seamless Data Integration

Partners are working with Couchbase to deliver tightly integrated capabilities that accelerate time to value for customers.

A new integration with Unstructured.io enables seamless ingestion of unstructured data into Couchbase’s vector store by extracting, processing and vectorizing data from various formats like PDFs, images and web pages. It converts raw data into structured formats, then generates vector embeddings that capture semantic meaning. These vectors, along with associated metadata, are ingested into Couchbase, allowing for advanced similarity search in support of GenAI applications. (Read more about the new integration here)

Also recently introduced:

    • Amazon Bedrock and Couchbase Capella provide a comprehensive platform for building high-performance RAG applications across various industries. This integration combines Couchbase’s vector search and hybrid search capabilities, with Amazon Bedrock’s access to leading foundation models, enabling developers to create production-grade GenAI applications that deliver accurate, context-aware responses grounded in proprietary data. (Read the blog)
    • NVIDIA NIM/NeMo and LangChain combined with Couchbase vector search enable developers to build interactive chatbots, accelerating both the retrieval and generation phases of the RAG pipeline to allow for quick information retrieval and response generation. (Read the blog)
    • Vectorize with Couchbase Capella enables developers to identify optimal text embedding models, chunking strategies and retrieval parameters, maximizing search result relevance without writing a single line of code. By eliminating the need for time-consuming trial and error in vectorization strategy selection, this integration accelerates the creation of more accurate AI applications. Leveraging Vectorize and Capella as a knowledge base, developers can construct high-performance RAG pipelines, ensuring AI applications and agents consistently access the most pertinent context to reduce LLM hallucinations. (Read the blog)

The partnerships help developers streamline the process of integrating rich, proprietary data into GenAI applications to deliver user experiences that are real-time, contextual and personalized. For example, customer service agents can quickly discover relevant information in internal knowledge bases to manage high call volumes and reduce wait times. In a retail scenario, sales associates can swiftly help customers identify and suggest alternatives to an out-of-stock product based on a picture or description, mitigating the impact of inventory shortages while providing an enhanced shopping experience.

Join the AI Accelerate Program

The AI Accelerate Partner Program is part of Couchbase PartnerEngage, a worldwide partner program that provides organizations with access to resources, benefits, custom commercial models and relationships essential to creating value for joint customers. AI Accelerate provides collaboration opportunities for cloud service providers, independent software vendors, system integrators and technology partners in the Couchbase PartnerEngage ecosystem.

By cultivating a diverse GenAI partner ecosystem, Couchbase is expanding the possibilities for customers to build comprehensive, tailored AI solutions that drive innovation.

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Author

Posted by Matt McDonough

Parlaying his experience in building emerging technologies as a product leader, Matt is responsible for Couchbase partner strategy and worldwide partner execution including channels, technology partners, solution partners, systems integrators, and cloud service providers. Prior to Couchbase, Matt was at EMC where he built out and led one of the flash storage offerings running product management, marketing, and solutions. And in a previous role at EMC, he led the company’s Emerging Technologies Division product and portfolio strategy. Before joining EMC, Matt was at Symantec/Veritas for seven years where he held positions across business development, alliances, strategy, marketing, and product management for both the security and information management businesses. Matt’s technology career is preceded by his service as a United States Army Officer. He holds an MBA from the Harvard Business School and a Bachelor of Science degree in Engineering from the United States Military Academy.

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