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Prototyping For Free, Scaling For Cheap with Aiven Dev Tier

I’ve been active in technical communities like PyData and codebar across the UK for nearly a decade now and owe much of my career to meeting and learning from cool people at events. Now, as someone with a professional interest in community organising, I spend a lot of my time looking for events to sponsor or speak at. But whilst finding technical events and communities can be tricky, I think I’ve found a solution using Kafka that might be useful for you too.

Context is King #5 - Ontologies as Executable Context for AI Agents

Can a knowledge graph do more than store facts — can it actually run your agent? In this talk from Context is King in London, Teodoro Baldazzi (Principal AI Engineer at Prometheux) makes the case for ontologies as executable context: structured knowledge that doesn't just inform AI agents, but actively shapes how they reason and act. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Context is King #5 - A Semantic Layer for the Agentic Era

Agents are only as good as the queries they can run. In this talk from Context is King in London, Egor Kraev (Co-Founder & CTO of Motley) breaks down how a well-designed semantic layer becomes the connective tissue between natural language intent and reliable data retrieval. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Context is King #5 - Building Safe AI Agents

As AI agents gain more autonomy, safety can't be an afterthought. In this talk from Context is King in London, Jonatan von Martens (AI Safety Engineer at ElevenLabs) shares what it actually takes to build agents that behave reliably in production. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Aiven MCP: Build on Aiven from Your AI Agent

You've felt it. You're deep in a flow state with Claude or Cursor, building the next great thing, and then you hit the wall. Time to leave your editor, open a browser, click through a console, copy a connection string, paste it back, and pray you didn't fumble a character. The vibe is gone. What if your AI agent could just... do it? Deploy the database. Create the Kafka topic. Ship the app. All without you ever leaving the conversation. Today, that's real.

Index your Valkey Cache and Start Searching

Aiven for Valkey includes the Valkey Search module setup and ready to go. Here's what that looks like in practice: a small online shop adding real search on top of the cache it's already running. Needle & Yarn sells the yarn you crochet with (skeins) and the design patterns you crochet from. Like a lot of e-commerce backends, it already runs Valkey as a product cache, with each product stored as a Hash for hot-path performance.

A Practical Guide to Deploying LMM-Powered Apps with CLIP and pgvector

In this article we’ll show how we built an image search demo in Aiven Apps. The demo uses the CLIP Large Multimodal Model (LMM) to turn a user’s text prompts into a vector that can be compared with the precomputed vectors for a corpus of images, allowing the user to find images based on their text. While in this example the LMM input (the text prompt) is coming from the user, the principle is the same as for an internally generated query.