Whitepaper
Explore the essentials for AI success in our latest InfoBrief, "Building a Cloud Data Foundation for the AI Era," sponsored by Aiven and Google Cloud. Learn to adapt data platforms for AI success.
Build AI-powered applications on Aiven. Our next-gen Data and AI platform empowers you to reshape and secure your data in real time, enabling you to safely adopt AI at scale.
Available on
Whitepaper
Explore the essentials for AI success in our latest InfoBrief, "Building a Cloud Data Foundation for the AI Era," sponsored by Aiven and Google Cloud. Learn to adapt data platforms for AI success.
Supported integrations
Autonomous agents and Large Language Models (LLMs) require real-time, up-to-date information to provide valuable insights. Aiven’s platform enables organizations to provide secure, real-time data feeds directly from information sources. Tools like OpenSearch®, PostgreSQL®, and Valkey™ can be used to store agent conversations and process reflections, ensuring your AI models have the data they need to perform optimally.
With over 10 million customers across 26 countries, La Redoute is an e-commerce leader in home, decoration and fashion. To handle the dynamic demands of peak shopping seasons, La Redoute turned to Aiven's BYOC model for its rapid deployment and cost-optimized infrastructure.
Retail
Apache Kafka®
PostgreSQL®
OpenSearch®
Developer Center
Build a knowledge chatbot powered by OpenSearch® and Amazon Bedrock
Developer Center
Ever wondered how to enrich your real-time streaming data with machine learning-driven analysis?
Developer Center
Get an introduction to machine learning using Aiven services and the Hugging Face API to recommend movies based on Wikipedia synopses.
Developer Center
Use OpenSearch® as a vector database to generate responses to user queries using AI
Developer Center
Leveraging TensorFlow, PostgreSQL®, PGVector, and Next.js for vector search with this step-by-step video guide.
Developer Center
Learn how to train AI models and perform live scoring with a set of SQL statements and Aiven for ClickHouse®
Developer Center
Vector embeddings are key to ML, and here we describe how to use OpenCV, OpenAI CLIP and pgvector to generate vectors and use them to perform image recognition on a corpus of photos.
Developer Center
Learn the theory and the details of how to speed up PostgreSQL® pgvector queries using indexes IVFFlat, HNSW and traditional indexes
All inclusive pricing so you have no end of the month surprises.
No add-on maintenance, networking and storage fees.