Spring AI Chat Memory - Cassandra

This repository demonstrates how to use Spring AI's Chat Memory with Cassandra to manage chat conversations persistently and reliably.

🚀 It covers two key use cases:

• A shared chat memory for all users (using a common conversation ID).
• A user-specific chat memory where each conversation history is isolated.

📖 Dive Deeper: For a complete walkthrough and detailed explanation, read our blog:
👉 Spring AI Chat Memory with Cassandra: Building Persistent Conversational Applications

🎥 Visual Learning: Prefer video tutorials? Watch our step-by-step implementation guide on YouTube.
👉 Spring AI Chat Memory with Cassandra: Building Persistent Conversational Applications

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📦 Environment Variables

Make sure to provide these Java environment variables when running the application:

• GEMINI_API_KEY: Your Google Gemini API key.
• DB_USERNAME: Your Cassandra username.
• DB_PASSWORD: Your Cassandra password.