Another week, another batch of awesome updates from the Couchbase universe! We’ve got everything from on-device plant whispering with AI, to smarter agents that actually get context, to prompt engineering hacks that will make your AI outputs feel less… well, robotic. And if that’s not enough, we’ll also peek into our ever-growing integration ecosystem—because who doesn’t love shiny new tools that make life easier?
🌱 PlantPal: A RAG-powered Plant ID App on iOS
Developer Evangelist Pulkit Midha built PlantPal, a Retrieval-Augmented Generation (RAG) iOS app that instantly identifies plants and provides care advice—entirely on-device. No internet, no photo uploads—just fast, private AI. Impressively, the app was shrunk from 800 MB to just 14 MB. The magic? Couchbase Lite Vector Search + MobileCLIP for image embedding, Core ML, and Apple’s on-device LLM frameworks. App walkthrough >>
🤖 Building Smarter Agents with Vector Search
This blog explores how Couchbase Vector Search empowers intelligent agents with semantic awareness. The article highlights real-time semantic retrieval and enhanced AI workflows. While centered on Couchbase's broader AI capabilities, it emphasizes how vector search underpins smarter, context-aware applications. Read the blog >>
✍️ Prompt Engineering: Techniques, Examples, and Tools
In this timely guide, Tyler Mitchell outlines prompt engineering—the craft of phrasing inputs to guide AI systems toward accurate, contextual, and useful outputs. Prominent use cases include content creation, code generation, customer support, and education. Benefits include improved accuracy, productivity gains, and broad domain applicability—alongside challenges like bias and scalability. Read now >>
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🔌 Couchbase Integrations: Ecosystem Boost for Developers
Couchbase continues to expand its integration ecosystem with both official and community-supported connectors. Explore options ranging from vector storage, document loaders, and data streaming, to DevOps tools like Terraform, and real-time sync connectors such as Kafka and GlueSync—all designed to streamline your architecture and workflows. Explore integrations >>
Notable Integration Highlights:
- 🛠️ JetBrains IDE Plugin – Manage Couchbase clusters, documents, and run SQL++ queries directly within JetBrains IDEs like IntelliJ, WebStorm, PyCharm, DataGrip, and more. 👉 More details >>
- 💻 VS Code Extension – Enhanced integration for cluster management, document editing, SQL++ notebooks, migrations, and Capella iQ AI assistance—all in your VS Code editor. 👉 More details >>
- 🐍 LlamaIndex Integration – Powerful Python integration to load documents from Couchbase into LlamaIndex, flexible data loading via SQL++, and metadata customization—ideal for embedding workflows. 👉 More details >>
- 🧩 LangChain Integration – Seamlessly integrate Couchbase with LangChain for storing and retrieving embeddings in AI/ML pipelines—handling both structured and unstructured data. 👉 More details >>
That’s it for this week’s Couchbase Weekly for developers! 💥
What are you building with Couchbase? Got a project, demo, or tutorial to share? Drop it in the comments (or hit us up on Discord), and we might feature it in a future issue.
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