Step-by-step walkthroughs for common Qaynaq use cases.
Set up a flowing pipeline from Kafka to PostgreSQL with Avro schema decoding.
Accept webhook data over HTTP and store it in a database with validation.
Build a weather tool that AI assistants can call via Model Context Protocol.
Build an AI support agent with three MCP tools that look up orders, find customer history, and draft replies.
Build a RAG knowledge base over your documents and expose it to AI assistants as an MCP tool.