3 Ways to Save AI Chat History in Bubble.io Apps
Learn three proven methods for saving AI chat history in your Bubble.io applications: Context Window, Follow-up Prompt, and RAG using Pinecone. This tutorial breaks down the pros, cons, and real-world cost considerations for each approach when building AI-powered no-code apps.
What You'll Learn
Context window growth comes with hidden costs: Token limits have expanded to 200K-1M, but recent research shows AI models lose accuracy with middle content, and exponential message costs can drain your budget as users engage more.
Follow-up prompt summarization cuts costs 99%: Generate compressed user profiles using frameworks like role-task-state after each interaction with cheaper models, maintaining conversation context for pennies instead of dollars per query.
Pinecone RAG enables semantic search but requires planning: Vector databases understand meaning over keywords, but choosing between OpenAI and Pinecone embeddings models determines whether you can use hybrid search and send text directly or need extra API steps.
