From Local Helper to Cloud‑Native RAG Chatbot on Google Cloud
How we turned a fragile single‑machine RAG into a session‑aware, PostgreSQL‑backed chatbot running on Cloud Run with Vertex AI doing the heavy lifting.
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How we turned a fragile single‑machine RAG into a session‑aware, PostgreSQL‑backed chatbot running on Cloud Run with Vertex AI doing the heavy lifting.
By decoupling transcription from translation and implementing robust error handling, we can build specialized AI pipelines that outperform generic multimodal models in both accuracy and debuggability.
Sometimes the simplest tools give you the biggest leap forward.
Building this bot has been a journey of trial and error, but seeing how these agents work together makes me excited for what’s next. This enhanced agent framework is our way of making the bot safer, smarter, and more user-friendly.
Building my own agentic assistant is teaching me as much about myself as it is about technology.
LangGraph brought consistency and control to my AI newsroom, making the switch from CrewAI worthwhile.
Discover how I built a personalized weekly AI digest using LLMs and an agentic workflow to cut through the noise and deliver the latest AI breakthroughs.
My inbox was a mess of newsletters and vague emails, so I used Google Apps Script and Gemini to sort and prioritize them automatically.
I had a blast trying to automate a mobile app’s “Spin” feature with an emulator for the first time, and here’s how it went.
Imagine AI systems that don’t just respond to commands but proactively solve problems like humans.
Use magic phrases, provide more context, self-verify, decompose tasks
神奇咒語、提供更多、自我反省、拆解任務。